diff --git a/.manus/db/db-query-1774834216959.json b/.manus/db/db-query-1774834216959.json
index e150323..fb47cf1 100644
--- a/.manus/db/db-query-1774834216959.json
+++ b/.manus/db/db-query-1774834216959.json
@@ -6,4 +6,4 @@
   "stdout": "",
   "stderr": "",
   "execution_time_ms": 10273
-}
\ No newline at end of file
+}
diff --git a/AI_CURRICULUM_DESIGN.md b/AI_CURRICULUM_DESIGN.md
index fae6f42..d137cd6 100644
--- a/AI_CURRICULUM_DESIGN.md
+++ b/AI_CURRICULUM_DESIGN.md
@@ -8,12 +8,12 @@ This document outlines the theoretical framework and algorithmic logic for the A
 
 SprintWork follows a research-backed 4-stage framework for career development:
 
-| Stage | Goal | AI Feature |
-|---|---|---|
+| Stage       | Goal                                 | AI Feature                              |
+| ----------- | ------------------------------------ | --------------------------------------- |
 | **Explore** | Identify career paths and skill gaps | Smart Job Matching & Skill Gap Analysis |
-| **Build** | Create professional assets | AI CV Tailoring & Resume Builder |
-| **Connect** | Build professional network | Networking Hub & Recruiter Matching |
-| **Refine** | Master interview and soft skills | AI Mock Interviews & Scoring |
+| **Build**   | Create professional assets           | AI CV Tailoring & Resume Builder        |
+| **Connect** | Build professional network           | Networking Hub & Recruiter Matching     |
+| **Refine**  | Master interview and soft skills     | AI Mock Interviews & Scoring            |
 
 ---
 
@@ -22,6 +22,7 @@ SprintWork follows a research-backed 4-stage framework for career development:
 The interview curriculum is divided into four specialized tracks, each with a structured progression:
 
 ### A. Behavioral Track (STAR Method)
+
 - **Focus:** Soft skills, leadership, conflict resolution.
 - **Curriculum:**
   1. **Foundations:** Introduction to the STAR method.
@@ -31,6 +32,7 @@ The interview curriculum is divided into four specialized tracks, each with a st
 - **Algorithm:** AI evaluates responses based on the presence of **Situation, Task, Action, and Result** components.
 
 ### B. Technical Track (DSA & System Design)
+
 - **Focus:** Problem-solving, coding proficiency, architecture.
 - **Curriculum:**
   1. **Data Structures:** Arrays, Linked Lists, Trees, Graphs.
@@ -39,6 +41,7 @@ The interview curriculum is divided into four specialized tracks, each with a st
 - **Algorithm:** AI checks for technical accuracy, time/space complexity analysis, and edge case handling.
 
 ### C. Case Study Track
+
 - **Focus:** Analytical thinking, business logic.
 - **Curriculum:**
   1. **Market Entry:** Analyzing new business opportunities.
@@ -50,6 +53,7 @@ The interview curriculum is divided into four specialized tracks, each with a st
 ## 3. Core Algorithms
 
 ### A. Smart Job Matching Algorithm (Hybrid Approach)
+
 The matching score ($S$) is calculated as a weighted sum of multiple factors:
 
 $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} + w_4 \cdot S_{salary}$$
@@ -60,6 +64,7 @@ $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} +
 - **$S_{salary}$:** Overlap between user expectations and job budget.
 
 ### B. AI CV Tailoring Algorithm
+
 1. **Extraction:** Use LLM to extract key requirements (Skills, Keywords, Responsibilities) from a job description.
 2. **Analysis:** Compare extracted keywords with the user's current resume.
 3. **Optimization:**
@@ -68,6 +73,7 @@ $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} +
    - **Quantification:** Prompt user to add metrics (e.g., "Increased sales by 20%").
 
 ### C. Interview Scoring Rubric (0-100)
+
 - **Content (40%):** Accuracy, relevance, and depth of the answer.
 - **Structure (30%):** Use of STAR method or logical flow.
 - **Communication (20%):** Clarity, tone, and professional language.
diff --git a/CURRICULUM_DESIGN.md b/CURRICULUM_DESIGN.md
index 09255b1..d9f6a3b 100644
--- a/CURRICULUM_DESIGN.md
+++ b/CURRICULUM_DESIGN.md
@@ -8,17 +8,17 @@ This foundational stage focuses on helping users understand their intrinsic moti
 
 ### Core Modules:
 
-*   **Values & Motivations Identification:** Guided exercises to uncover personal values, work preferences, and career drivers.
-*   **Skills Inventory & Transferability:** Tools to list existing skills, identify transferable skills from past experiences, and map them to various job functions.
-*   **Career Interest Profiling:** AI-driven assessments to match user profiles with potential career clusters and industries.
-*   **Goal Setting:** Structured frameworks for defining short-term and long-term career objectives.
+- **Values & Motivations Identification:** Guided exercises to uncover personal values, work preferences, and career drivers.
+- **Skills Inventory & Transferability:** Tools to list existing skills, identify transferable skills from past experiences, and map them to various job functions.
+- **Career Interest Profiling:** AI-driven assessments to match user profiles with potential career clusters and industries.
+- **Goal Setting:** Structured frameworks for defining short-term and long-term career objectives.
 
 ### AI Integration:
 
-| AI Feature | Description | Algorithm/Methodology |
-|:---|:---|:---|
-| **Career Path Suggestion** | Analyzes user's skills, interests, and values to recommend relevant career paths and industries. | Natural Language Processing (NLP) for interest extraction, skill-to-job mapping databases, clustering algorithms for career similarity. |
-| **Skill Gap Identification** | Compares user's current skills against target roles to highlight areas for development. | Skill taxonomy matching, keyword extraction, similarity scoring. |
+| AI Feature                   | Description                                                                                      | Algorithm/Methodology                                                                                                                   |
+| :--------------------------- | :----------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
+| **Career Path Suggestion**   | Analyzes user's skills, interests, and values to recommend relevant career paths and industries. | Natural Language Processing (NLP) for interest extraction, skill-to-job mapping databases, clustering algorithms for career similarity. |
+| **Skill Gap Identification** | Compares user's current skills against target roles to highlight areas for development.          | Skill taxonomy matching, keyword extraction, similarity scoring.                                                                        |
 
 ## 2. Build: Resume & Cover Letter Tailoring
 
@@ -26,18 +26,18 @@ This stage equips users with the ability to create compelling application materi
 
 ### Core Modules:
 
-*   **Resume Building:** Step-by-step guidance on structuring resumes, selecting appropriate formats, and content creation.
-*   **Cover Letter Crafting:** Techniques for writing persuasive cover letters that highlight relevant experiences and motivations.
-*   **ATS Optimization:** Strategies for incorporating keywords and formatting resumes to pass ATS scans.
-*   **Portfolio Development:** Guidance for creating online portfolios for creative and technical roles.
+- **Resume Building:** Step-by-step guidance on structuring resumes, selecting appropriate formats, and content creation.
+- **Cover Letter Crafting:** Techniques for writing persuasive cover letters that highlight relevant experiences and motivations.
+- **ATS Optimization:** Strategies for incorporating keywords and formatting resumes to pass ATS scans.
+- **Portfolio Development:** Guidance for creating online portfolios for creative and technical roles.
 
 ### AI Integration:
 
-| AI Feature | Description | Algorithm/Methodology |
-|:---|:---|:---|
-| **ATS Optimization Score** | Evaluates resume against a job description for keyword density, formatting, and overall ATS compatibility. | Keyword extraction, semantic similarity (BERT embeddings), rule-based scoring for formatting. |
-| **Content Enhancement** | Suggests stronger action verbs, quantifies achievements, and refines bullet points for impact. | NLP for verb identification, sentiment analysis, pattern recognition for quantifiable metrics. |
-| **Tailored Content Generation** | Generates customized resume sections or cover letter paragraphs based on job description and user's profile. | Generative AI (LLM) with prompt engineering, contextual understanding. |
+| AI Feature                      | Description                                                                                                  | Algorithm/Methodology                                                                          |
+| :------------------------------ | :----------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------- |
+| **ATS Optimization Score**      | Evaluates resume against a job description for keyword density, formatting, and overall ATS compatibility.   | Keyword extraction, semantic similarity (BERT embeddings), rule-based scoring for formatting.  |
+| **Content Enhancement**         | Suggests stronger action verbs, quantifies achievements, and refines bullet points for impact.               | NLP for verb identification, sentiment analysis, pattern recognition for quantifiable metrics. |
+| **Tailored Content Generation** | Generates customized resume sections or cover letter paragraphs based on job description and user's profile. | Generative AI (LLM) with prompt engineering, contextual understanding.                         |
 
 ## 3. Connect: Job Search & Networking
 
@@ -45,18 +45,18 @@ This stage focuses on effective job search strategies, networking, and leveragin
 
 ### Core Modules:
 
-*   **Job Search Strategy:** Techniques for identifying target companies, roles, and industries.
-*   **Networking & Outreach:** Best practices for informational interviews, LinkedIn networking, and professional event engagement.
-*   **Online Presence Management:** Optimizing LinkedIn profiles and other professional social media.
-*   **Application Tracking:** Tools for managing job applications and follow-ups.
+- **Job Search Strategy:** Techniques for identifying target companies, roles, and industries.
+- **Networking & Outreach:** Best practices for informational interviews, LinkedIn networking, and professional event engagement.
+- **Online Presence Management:** Optimizing LinkedIn profiles and other professional social media.
+- **Application Tracking:** Tools for managing job applications and follow-ups.
 
 ### AI Integration:
 
-| AI Feature | Description | Algorithm/Methodology |
-|:---|:---|:---|
-| **Smart Job Matching** | Recommends job openings based on user's profile, skills, experience, and preferences. | Weighted sum algorithm (as defined in `mlService.ts`), collaborative filtering, content-based filtering, location-based services. |
-| **Networking Message Drafts** | Generates personalized outreach messages for informational interviews or connection requests. | Generative AI (LLM) with user context and recipient information. |
-| **Company Insights** | Provides AI-summarized information about target companies, culture, and recent news. | Web scraping, NLP for summarization, sentiment analysis. |
+| AI Feature                    | Description                                                                                   | Algorithm/Methodology                                                                                                             |
+| :---------------------------- | :-------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------- |
+| **Smart Job Matching**        | Recommends job openings based on user's profile, skills, experience, and preferences.         | Weighted sum algorithm (as defined in `mlService.ts`), collaborative filtering, content-based filtering, location-based services. |
+| **Networking Message Drafts** | Generates personalized outreach messages for informational interviews or connection requests. | Generative AI (LLM) with user context and recipient information.                                                                  |
+| **Company Insights**          | Provides AI-summarized information about target companies, culture, and recent news.          | Web scraping, NLP for summarization, sentiment analysis.                                                                          |
 
 ## 4. Refine: Interview Preparation & Skill Development
 
@@ -64,20 +64,20 @@ This final stage prepares users for interviews through practice, feedback, and c
 
 ### Core Modules:
 
-*   **Behavioral Interview Practice:** Focus on the STAR method (Situation, Task, Action, Result) for answering common behavioral questions.
-*   **Technical Interview Practice:** Modules for Data Structures & Algorithms, System Design, and role-specific technical questions.
-*   **Case Study Interview Practice:** Frameworks and practice scenarios for analytical problem-solving.
-*   **Feedback & Iteration:** Tools for self-reflection and incorporating feedback into interview responses.
-*   **Skill Development Pathways:** Personalized learning recommendations to address identified skill gaps.
+- **Behavioral Interview Practice:** Focus on the STAR method (Situation, Task, Action, Result) for answering common behavioral questions.
+- **Technical Interview Practice:** Modules for Data Structures & Algorithms, System Design, and role-specific technical questions.
+- **Case Study Interview Practice:** Frameworks and practice scenarios for analytical problem-solving.
+- **Feedback & Iteration:** Tools for self-reflection and incorporating feedback into interview responses.
+- **Skill Development Pathways:** Personalized learning recommendations to address identified skill gaps.
 
 ### AI Integration:
 
-| AI Feature | Description | Algorithm/Methodology |
-|:---|:---|:---|
-| **Dynamic Question Generation** | Creates realistic behavioral, technical, and case study interview questions based on job roles and user profiles. | Generative AI (LLM) with question templates and contextual parameters. |
-| **Interview Answer Evaluation** | Analyzes user responses for content, structure, communication, and confidence, providing a detailed score and actionable feedback. | NLP for semantic analysis, keyword matching, sentiment analysis, speech-to-text (for verbal responses), predefined scoring rubrics. |
-| **STAR Method Adherence Check** | Specifically assesses if behavioral answers follow the STAR framework. | Pattern recognition, NLP for structural analysis. |
-| **Personalized Skill Recommendations** | Suggests courses, tutorials, or projects to improve skills identified during mock interviews or skill gap analysis. | Collaborative filtering, content-based recommendations, knowledge graph traversal. |
+| AI Feature                             | Description                                                                                                                        | Algorithm/Methodology                                                                                                               |
+| :------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------- |
+| **Dynamic Question Generation**        | Creates realistic behavioral, technical, and case study interview questions based on job roles and user profiles.                  | Generative AI (LLM) with question templates and contextual parameters.                                                              |
+| **Interview Answer Evaluation**        | Analyzes user responses for content, structure, communication, and confidence, providing a detailed score and actionable feedback. | NLP for semantic analysis, keyword matching, sentiment analysis, speech-to-text (for verbal responses), predefined scoring rubrics. |
+| **STAR Method Adherence Check**        | Specifically assesses if behavioral answers follow the STAR framework.                                                             | Pattern recognition, NLP for structural analysis.                                                                                   |
+| **Personalized Skill Recommendations** | Suggests courses, tutorials, or projects to improve skills identified during mock interviews or skill gap analysis.                | Collaborative filtering, content-based recommendations, knowledge graph traversal.                                                  |
 
 ## Conclusion
 
diff --git a/DEPLOYMENT_GUIDE.md b/DEPLOYMENT_GUIDE.md
index 7617131..e0fcab7 100644
--- a/DEPLOYMENT_GUIDE.md
+++ b/DEPLOYMENT_GUIDE.md
@@ -1,9 +1,11 @@
 # SprintWork Deployment Guide
 
 ## Overview
+
 SprintWork is a full-stack TypeScript application with **Manus-integrated AI**, **TiDB Cloud database**, and **OAuth authentication**. This guide covers deployment to Vercel with all features enabled.
 
 ## Prerequisites
+
 - GitHub account (repository already set up)
 - Vercel account (free tier available)
 - TiDB Cloud account (free tier available)
@@ -12,6 +14,7 @@ SprintWork is a full-stack TypeScript application with **Manus-integrated AI**,
 ## Database Setup (TiDB Cloud)
 
 Your database is already configured:
+
 - **Connection String**: `mysql://a2xXqbP1YKYZnPR.root:Ml8MTBkj61gN8MAS@gateway01.eu-central-1.prod.aws.tidbcloud.com:4000/sprintwork`
 - **Schema**: Automatically migrated via Drizzle ORM
 - **Free Tier**: 5GB storage, sufficient for MVP
@@ -19,12 +22,14 @@ Your database is already configured:
 ## Deployment to Vercel
 
 ### Step 1: Connect GitHub Repository
+
 1. Go to [Vercel Dashboard](https://vercel.com/dashboard)
 2. Click "Add New" → "Project"
 3. Select "Import Git Repository"
 4. Find and select `Samkele05/SprintWork`
 
 ### Step 2: Configure Environment Variables
+
 In Vercel project settings, add these environment variables:
 
 ```
@@ -42,6 +47,7 @@ VITE_APP_ID=sprintwork
 ```
 
 ### Step 3: Optional - Add OAuth Credentials
+
 For third-party login (Google, GitHub, LinkedIn):
 
 ```
@@ -53,34 +59,40 @@ GITHUB_CLIENT_SECRET=[Your GitHub Client Secret]
 ```
 
 ### Step 4: Deploy
+
 Click "Deploy" and Vercel will automatically build and deploy your app.
 
 ## Features Included
 
 ### ✅ AI-Powered Career Tools
+
 - **CV Tailoring**: AI-powered resume optimization for job descriptions
 - **Mock Interviews**: STAR-method-based interview practice with AI scoring
 - **Job Matching**: Intelligent job recommendations based on skills and experience
 - **Curriculum**: Personalized learning paths for skill development
 
 ### ✅ Authentication
+
 - Manus OAuth (built-in)
 - Google OAuth (optional)
 - GitHub OAuth (optional)
 - LinkedIn OAuth (optional)
 
 ### ✅ Database
+
 - TiDB Cloud MySQL (free tier)
 - Drizzle ORM for type-safe queries
 - Automatic schema migrations
 
 ### ✅ Frontend
+
 - React with TypeScript
 - Vite for fast development
 - TailwindCSS for styling
 - Responsive design
 
 ### ✅ Backend
+
 - tRPC for type-safe APIs
 - Manus LLM integration for AI features
 - Express.js server
@@ -114,16 +126,19 @@ pnpm dev
 ## Troubleshooting
 
 ### Database Connection Issues
+
 - Verify `DATABASE_URL` is correctly set
 - Check TiDB Cloud IP whitelist includes Vercel's IP ranges
 - Ensure SSL mode is set to `REQUIRED`
 
 ### OAuth Not Working
+
 - Verify redirect URIs match your deployment URL
 - Check client IDs and secrets are correct
 - Ensure OAuth credentials are added to Vercel environment
 
 ### AI Features Not Working
+
 - Verify `BUILT_IN_FORGE_API_KEY` is set
 - Check Manus API endpoint is reachable
 - Review server logs for API errors
@@ -131,6 +146,7 @@ pnpm dev
 ## Support
 
 For issues or questions:
+
 1. Check the GitHub repository: https://github.com/Samkele05/SprintWork
 2. Review the AI_CURRICULUM_DESIGN.md for feature details
 3. Contact Manus support for API issues
diff --git a/README.md b/README.md
index 2efaa15..aa04436 100644
--- a/README.md
+++ b/README.md
@@ -6,20 +6,21 @@
 
 ## Tech Stack
 
-| Layer | Technology |
-|---|---|
+| Layer        | Technology                                                    |
+| ------------ | ------------------------------------------------------------- |
 | **Frontend** | React 19, TypeScript, Vite 7, TailwindCSS 4, Radix UI, Wouter |
-| **Backend** | Node.js, Express, tRPC 11 |
-| **Database** | MySQL / TiDB (via Drizzle ORM) |
-| **Auth** | OAuth (Google, GitHub, LinkedIn) + JWT sessions |
-| **AI/LLM** | OpenAI-compatible API (Gemini 2.5 Flash) |
-| **Testing** | Vitest |
+| **Backend**  | Node.js, Express, tRPC 11                                     |
+| **Database** | MySQL / TiDB (via Drizzle ORM)                                |
+| **Auth**     | OAuth (Google, GitHub, LinkedIn) + JWT sessions               |
+| **AI/LLM**   | OpenAI-compatible API (Gemini 2.5 Flash)                      |
+| **Testing**  | Vitest                                                        |
 
 ---
 
 ## Features
 
 ### For Job Seekers
+
 - **AI CV Tailoring** — Automatically tailor your resume to match job postings with ATS optimization
 - **Mock Interviews** — Practice behavioral, technical, case study, and general interviews with AI feedback and scoring
 - **Smart Job Matching** — ML-powered job recommendations based on your profile and skills
@@ -30,12 +31,14 @@
 - **Saved Searches** — Save job search queries with alert notifications
 
 ### For Recruiters
+
 - **Post Jobs** — Create and publish job listings with full details
 - **Candidate Management** — Review applications and evaluate candidates
 - **Recruiter Dashboard** — Track hiring funnel and job posting metrics
 - **Direct Messaging** — Communicate with candidates directly
 
 ### Platform
+
 - OAuth login (Google, GitHub, LinkedIn, Manus)
 - Light/Dark mode
 - Fully responsive (mobile-first)
@@ -46,6 +49,7 @@
 ## Getting Started
 
 ### Prerequisites
+
 - Node.js 18+
 - pnpm 10+
 - MySQL or TiDB database
@@ -134,26 +138,26 @@ SprintWork/
 
 ## Application Routes
 
-| Route | Description |
-|---|---|
-| `/` | Landing page |
-| `/login` | OAuth login page |
-| `/onboarding` | Role selection and profile setup |
-| `/dashboard` | Job seeker dashboard |
-| `/recruiter-dashboard` | Recruiter dashboard |
-| `/job-search` | Job search with filters |
-| `/job/:id` | Job detail page |
-| `/applications` | Application tracker |
-| `/profile` | User profile management |
-| `/cv-builder` | Resume builder |
-| `/mock-interviews` | Interview practice |
-| `/interview/:id` | Live interview session |
-| `/networking` | Professional connections |
-| `/messages` | Direct messaging |
-| `/skill-development` | Courses and learning paths |
-| `/saved-searches` | Saved job searches |
-| `/recruiter/jobs` | Recruiter job management |
-| `/recruiter/post-job` | Post a new job |
+| Route                  | Description                      |
+| ---------------------- | -------------------------------- |
+| `/`                    | Landing page                     |
+| `/login`               | OAuth login page                 |
+| `/onboarding`          | Role selection and profile setup |
+| `/dashboard`           | Job seeker dashboard             |
+| `/recruiter-dashboard` | Recruiter dashboard              |
+| `/job-search`          | Job search with filters          |
+| `/job/:id`             | Job detail page                  |
+| `/applications`        | Application tracker              |
+| `/profile`             | User profile management          |
+| `/cv-builder`          | Resume builder                   |
+| `/mock-interviews`     | Interview practice               |
+| `/interview/:id`       | Live interview session           |
+| `/networking`          | Professional connections         |
+| `/messages`            | Direct messaging                 |
+| `/skill-development`   | Courses and learning paths       |
+| `/saved-searches`      | Saved job searches               |
+| `/recruiter/jobs`      | Recruiter job management         |
+| `/recruiter/post-job`  | Post a new job                   |
 
 ---
 
@@ -180,12 +184,14 @@ Messaging & Notifications
 ## Deployment
 
 ### Deploy to Vercel / Railway / Render
+
 1. Connect this GitHub repository
 2. Set the environment variables listed above
 3. Set build command: `pnpm build`
 4. Set start command: `pnpm start`
 
 ### Deploy to a VPS
+
 ```bash
 pnpm build
 NODE_ENV=production pnpm start
diff --git a/client/index.html b/client/index.html
index 27876de..e8b97c4 100644
--- a/client/index.html
+++ b/client/index.html
@@ -1,11 +1,11 @@
 <!doctype html>
 <html lang="en">
-
   <head>
     <meta charset="UTF-8" />
     <meta
       name="viewport"
-      content="width=device-width, initial-scale=1.0, maximum-scale=1" />
+      content="width=device-width, initial-scale=1.0, maximum-scale=1"
+    />
     <title>SprintWork - The AI-Powered Job Market Revolution</title>
   </head>
 
@@ -13,5 +13,4 @@
     <div id="root"></div>
     <script type="module" src="/src/main.tsx"></script>
   </body>
-
 </html>
diff --git a/client/public/__manus__/debug-collector.js b/client/public/__manus__/debug-collector.js
index 0504555..8c29cca 100644
--- a/client/public/__manus__/debug-collector.js
+++ b/client/public/__manus__/debug-collector.js
@@ -68,7 +68,9 @@
     if (value === undefined) return undefined;
 
     if (typeof value === "string") {
-      return value.length > 1000 ? value.slice(0, 1000) + "...[truncated]" : value;
+      return value.length > 1000
+        ? value.slice(0, 1000) + "...[truncated]"
+        : value;
     }
 
     if (typeof value !== "object") return value;
@@ -178,7 +180,7 @@
       getAttr("data-test") ||
       null;
 
-    var type = tag === "input" ? (getAttr("type") || "text") : null;
+    var type = tag === "input" ? getAttr("type") || "text" : null;
     var href = tag === "a" ? getAttr("href") || null : null;
 
     // a small, stable hint for agents (avoid building full CSS paths)
@@ -233,7 +235,8 @@
 
     if (isSensitiveField(el)) return { masked: true, length: v.length };
 
-    if (v.length > CONFIG.uiInputMaxLen) v = v.slice(0, CONFIG.uiInputMaxLen) + "…";
+    if (v.length > CONFIG.uiInputMaxLen)
+      v = v.slice(0, CONFIG.uiInputMaxLen) + "…";
     return v;
   }
 
@@ -456,9 +459,10 @@
     init = init || {};
     var startTime = Date.now();
     // Handle string, Request object, or URL object
-    var url = typeof input === "string"
-      ? input
-      : (input && (input.url || input.href || String(input))) || "";
+    var url =
+      typeof input === "string"
+        ? input
+        : (input && (input.url || input.href || String(input))) || "";
     var method = init.method || (input && input.method) || "GET";
 
     // Don't intercept internal requests
@@ -470,7 +474,9 @@
     var requestHeaders = {};
     try {
       if (init.headers) {
-        requestHeaders = Object.fromEntries(new Headers(init.headers).entries());
+        requestHeaders = Object.fromEntries(
+          new Headers(init.headers).entries()
+        );
       }
     } catch (e) {
       requestHeaders = { _parseError: true };
@@ -494,7 +500,9 @@
       .then(function (response) {
         entry.duration = Date.now() - startTime;
 
-        var contentType = (response.headers.get("content-type") || "").toLowerCase();
+        var contentType = (
+          response.headers.get("content-type") || ""
+        ).toLowerCase();
         var contentLength = response.headers.get("content-length");
 
         entry.response = {
@@ -516,9 +524,10 @@
         }
 
         // Skip body capture for streaming responses (SSE, etc.) to avoid memory leaks
-        var isStreaming = contentType.indexOf("text/event-stream") !== -1 ||
-                          contentType.indexOf("application/stream") !== -1 ||
-                          contentType.indexOf("application/x-ndjson") !== -1;
+        var isStreaming =
+          contentType.indexOf("text/event-stream") !== -1 ||
+          contentType.indexOf("application/stream") !== -1 ||
+          contentType.indexOf("application/x-ndjson") !== -1;
         if (isStreaming) {
           entry.response.body = "[Streaming response - not captured]";
           store.networkRequests.push(entry);
@@ -527,20 +536,25 @@
         }
 
         // Skip body capture for large responses to avoid memory issues
-        if (contentLength && parseInt(contentLength, 10) > CONFIG.maxBodyLength) {
-          entry.response.body = "[Response too large: " + contentLength + " bytes]";
+        if (
+          contentLength &&
+          parseInt(contentLength, 10) > CONFIG.maxBodyLength
+        ) {
+          entry.response.body =
+            "[Response too large: " + contentLength + " bytes]";
           store.networkRequests.push(entry);
           pruneBuffer(store.networkRequests, CONFIG.bufferSize.network);
           return response;
         }
 
         // Skip body capture for binary content types
-        var isBinary = contentType.indexOf("image/") !== -1 ||
-                       contentType.indexOf("video/") !== -1 ||
-                       contentType.indexOf("audio/") !== -1 ||
-                       contentType.indexOf("application/octet-stream") !== -1 ||
-                       contentType.indexOf("application/pdf") !== -1 ||
-                       contentType.indexOf("application/zip") !== -1;
+        var isBinary =
+          contentType.indexOf("image/") !== -1 ||
+          contentType.indexOf("video/") !== -1 ||
+          contentType.indexOf("audio/") !== -1 ||
+          contentType.indexOf("application/octet-stream") !== -1 ||
+          contentType.indexOf("application/pdf") !== -1 ||
+          contentType.indexOf("application/zip") !== -1;
         if (isBinary) {
           entry.response.body = "[Binary content: " + contentType + "]";
           store.networkRequests.push(entry);
@@ -558,7 +572,8 @@
             if (text.length <= CONFIG.maxBodyLength) {
               entry.response.body = sanitizeValue(tryParseJson(text));
             } else {
-              entry.response.body = text.slice(0, CONFIG.maxBodyLength) + "...[truncated]";
+              entry.response.body =
+                text.slice(0, CONFIG.maxBodyLength) + "...[truncated]";
             }
           })
           .catch(function () {
@@ -615,24 +630,30 @@
       xhr._manusData.url.indexOf("/__manus__/") !== 0
     ) {
       xhr._manusData.startTime = Date.now();
-      xhr._manusData.requestBody = body ? sanitizeValue(tryParseJson(body)) : null;
+      xhr._manusData.requestBody = body
+        ? sanitizeValue(tryParseJson(body))
+        : null;
 
       xhr.addEventListener("load", function () {
-        var contentType = (xhr.getResponseHeader("content-type") || "").toLowerCase();
+        var contentType = (
+          xhr.getResponseHeader("content-type") || ""
+        ).toLowerCase();
         var responseBody = null;
 
         // Skip body capture for streaming responses
-        var isStreaming = contentType.indexOf("text/event-stream") !== -1 ||
-                          contentType.indexOf("application/stream") !== -1 ||
-                          contentType.indexOf("application/x-ndjson") !== -1;
+        var isStreaming =
+          contentType.indexOf("text/event-stream") !== -1 ||
+          contentType.indexOf("application/stream") !== -1 ||
+          contentType.indexOf("application/x-ndjson") !== -1;
 
         // Skip body capture for binary content types
-        var isBinary = contentType.indexOf("image/") !== -1 ||
-                       contentType.indexOf("video/") !== -1 ||
-                       contentType.indexOf("audio/") !== -1 ||
-                       contentType.indexOf("application/octet-stream") !== -1 ||
-                       contentType.indexOf("application/pdf") !== -1 ||
-                       contentType.indexOf("application/zip") !== -1;
+        var isBinary =
+          contentType.indexOf("image/") !== -1 ||
+          contentType.indexOf("video/") !== -1 ||
+          contentType.indexOf("audio/") !== -1 ||
+          contentType.indexOf("application/octet-stream") !== -1 ||
+          contentType.indexOf("application/pdf") !== -1 ||
+          contentType.indexOf("application/zip") !== -1;
 
         if (isStreaming) {
           responseBody = "[Streaming response - not captured]";
@@ -643,7 +664,8 @@
           try {
             var text = xhr.responseText || "";
             if (text.length > CONFIG.maxBodyLength) {
-              responseBody = text.slice(0, CONFIG.maxBodyLength) + "...[truncated]";
+              responseBody =
+                text.slice(0, CONFIG.maxBodyLength) + "...[truncated]";
             } else {
               responseBody = sanitizeValue(tryParseJson(text));
             }
@@ -817,5 +839,7 @@
     forceReport: reportLogs,
   };
 
-  console.debug("[Manus] Debug collector initialized (no rrweb, UI events only)");
+  console.debug(
+    "[Manus] Debug collector initialized (no rrweb, UI events only)"
+  );
 })();
diff --git a/client/src/App.tsx b/client/src/App.tsx
index 2f8f514..4a364b4 100644
--- a/client/src/App.tsx
+++ b/client/src/App.tsx
@@ -1,6 +1,7 @@
 import { Toaster } from "@/components/ui/sonner";
 import { TooltipProvider } from "@/components/ui/tooltip";
 import NotFound from "@/pages/NotFound";
+import { SpeedInsights } from "@vercel/speed-insights/react";
 import { Route, Switch } from "wouter";
 import ErrorBoundary from "./components/ErrorBoundary";
 import { ThemeProvider } from "./contexts/ThemeContext";
@@ -59,6 +60,7 @@ function App() {
         <TooltipProvider>
           <Toaster />
           <Router />
+          <SpeedInsights />
         </TooltipProvider>
       </ThemeProvider>
     </ErrorBoundary>
diff --git a/client/src/_core/hooks/useAuth.ts b/client/src/_core/hooks/useAuth.ts
index dcef9bd..74b886d 100644
--- a/client/src/_core/hooks/useAuth.ts
+++ b/client/src/_core/hooks/useAuth.ts
@@ -67,7 +67,7 @@ export function useAuth(options?: UseAuthOptions) {
     if (typeof window === "undefined") return;
     if (window.location.pathname === redirectPath) return;
 
-    window.location.href = redirectPath
+    window.location.href = redirectPath;
   }, [
     redirectOnUnauthenticated,
     redirectPath,
diff --git a/client/src/components/AIChatBox.tsx b/client/src/components/AIChatBox.tsx
index 1c00871..52b235f 100644
--- a/client/src/components/AIChatBox.tsx
+++ b/client/src/components/AIChatBox.tsx
@@ -127,7 +127,7 @@ export function AIChatBox({
   const textareaRef = useRef<HTMLTextAreaElement>(null);
 
   // Filter out system messages
-  const displayMessages = messages.filter((msg) => msg.role !== "system");
+  const displayMessages = messages.filter(msg => msg.role !== "system");
 
   // Calculate min-height for last assistant message to push user message to top
   const [minHeightForLastMessage, setMinHeightForLastMessage] = useState(0);
@@ -143,7 +143,8 @@ export function AIChatBox({
       // - user message: 40px (item height) + 16px (margin-top from space-y-4) = 56px
       // Note: margin-bottom is not counted because it naturally pushes the assistant message down
       const userMessageReservedHeight = 56;
-      const calculatedHeight = scrollAreaHeight - 32 - userMessageReservedHeight;
+      const calculatedHeight =
+        scrollAreaHeight - 32 - userMessageReservedHeight;
 
       setMinHeightForLastMessage(Math.max(0, calculatedHeight));
     }
@@ -152,14 +153,14 @@ export function AIChatBox({
   // Scroll to bottom helper function with smooth animation
   const scrollToBottom = () => {
     const viewport = scrollAreaRef.current?.querySelector(
-      '[data-radix-scroll-area-viewport]'
+      "[data-radix-scroll-area-viewport]"
     ) as HTMLDivElement;
 
     if (viewport) {
       requestAnimationFrame(() => {
         viewport.scrollTo({
           top: viewport.scrollHeight,
-          behavior: 'smooth'
+          behavior: "smooth",
         });
       });
     }
@@ -311,7 +312,7 @@ export function AIChatBox({
         <Textarea
           ref={textareaRef}
           value={input}
-          onChange={(e) => setInput(e.target.value)}
+          onChange={e => setInput(e.target.value)}
           onKeyDown={handleKeyDown}
           placeholder={placeholder}
           className="flex-1 max-h-32 resize-none min-h-9"
diff --git a/client/src/components/DashboardLayout.tsx b/client/src/components/DashboardLayout.tsx
index 013f29a..c4bd262 100644
--- a/client/src/components/DashboardLayout.tsx
+++ b/client/src/components/DashboardLayout.tsx
@@ -24,10 +24,19 @@ import { useIsMobile } from "@/hooks/useMobile";
 import { LayoutDashboard, LogOut, PanelLeft, Users } from "lucide-react";
 import { CSSProperties, useEffect, useRef, useState } from "react";
 import { useLocation } from "wouter";
-import { DashboardLayoutSkeleton } from './DashboardLayoutSkeleton';
+import { DashboardLayoutSkeleton } from "./DashboardLayoutSkeleton";
 import { Button } from "./ui/button";
 
-import { Home as HomeIcon, Briefcase, FileText, Brain as BrainIcon, Users as UsersIcon, MessageSquare, GraduationCap, Search } from "lucide-react";
+import {
+  Home as HomeIcon,
+  Briefcase,
+  FileText,
+  Brain as BrainIcon,
+  Users as UsersIcon,
+  MessageSquare,
+  GraduationCap,
+  Search,
+} from "lucide-react";
 
 const menuItems = [
   { icon: HomeIcon, label: "Home", path: "/" },
@@ -37,7 +46,11 @@ const menuItems = [
   { icon: BrainIcon, label: "Mock Interviews", path: "/mock-interviews" },
   { icon: UsersIcon, label: "Networking", path: "/networking" },
   { icon: MessageSquare, label: "Messages", path: "/messages" },
-  { icon: GraduationCap, label: "Skill Development", path: "/skill-development" },
+  {
+    icon: GraduationCap,
+    label: "Skill Development",
+    path: "/skill-development",
+  },
 ];
 
 const SIDEBAR_WIDTH_KEY = "sidebar-width";
@@ -61,7 +74,7 @@ export default function DashboardLayout({
   }, [sidebarWidth]);
 
   if (loading) {
-    return <DashboardLayoutSkeleton />
+    return <DashboardLayoutSkeleton />;
   }
 
   if (!user) {
@@ -73,7 +86,8 @@ export default function DashboardLayout({
               Sign in to continue
             </h1>
             <p className="text-sm text-muted-foreground text-center max-w-sm">
-              Access to this dashboard requires authentication. Continue to launch the login flow.
+              Access to this dashboard requires authentication. Continue to
+              launch the login flow.
             </p>
           </div>
           <Button
diff --git a/client/src/components/DashboardLayoutSkeleton.tsx b/client/src/components/DashboardLayoutSkeleton.tsx
index 9ae9335..c7958f2 100644
--- a/client/src/components/DashboardLayoutSkeleton.tsx
+++ b/client/src/components/DashboardLayoutSkeleton.tsx
@@ -1,4 +1,4 @@
-import { Skeleton } from './ui/skeleton';
+import { Skeleton } from "./ui/skeleton";
 
 export function DashboardLayoutSkeleton() {
   return (
diff --git a/client/src/components/ui/button.tsx b/client/src/components/ui/button.tsx
index 6d74f9a..162f5e7 100644
--- a/client/src/components/ui/button.tsx
+++ b/client/src/components/ui/button.tsx
@@ -16,8 +16,7 @@ const buttonVariants = cva(
           "border bg-transparent shadow-xs hover:bg-accent dark:bg-transparent dark:border-input dark:hover:bg-input/50",
         secondary:
           "bg-secondary text-secondary-foreground hover:bg-secondary/80",
-        ghost:
-          "hover:bg-accent dark:hover:bg-accent/50",
+        ghost: "hover:bg-accent dark:hover:bg-accent/50",
         link: "text-primary underline-offset-4 hover:underline",
       },
       size: {
diff --git a/client/src/components/ui/dialog.tsx b/client/src/components/ui/dialog.tsx
index 9a84318..e9a906b 100644
--- a/client/src/components/ui/dialog.tsx
+++ b/client/src/components/ui/dialog.tsx
@@ -204,6 +204,5 @@ export {
   DialogOverlay,
   DialogPortal,
   DialogTitle,
-  DialogTrigger
+  DialogTrigger,
 };
-
diff --git a/client/src/components/ui/input.tsx b/client/src/components/ui/input.tsx
index 159aa02..dfd31c9 100644
--- a/client/src/components/ui/input.tsx
+++ b/client/src/components/ui/input.tsx
@@ -20,9 +20,11 @@ function Input({
     onCompositionEnd: handleCompositionEnd,
     onKeyDown: handleKeyDown,
   } = useComposition<HTMLInputElement>({
-    onKeyDown: (e) => {
+    onKeyDown: e => {
       // Check if this is an Enter key that should be blocked
-      const isComposing = (e.nativeEvent as any).isComposing || dialogComposition.justEndedComposing();
+      const isComposing =
+        (e.nativeEvent as any).isComposing ||
+        dialogComposition.justEndedComposing();
 
       // If Enter key is pressed while composing or just after composition ended,
       // don't call the user's onKeyDown (this blocks the business logic)
diff --git a/client/src/components/ui/sidebar.tsx b/client/src/components/ui/sidebar.tsx
index 2744889..1a587d1 100644
--- a/client/src/components/ui/sidebar.tsx
+++ b/client/src/components/ui/sidebar.tsx
@@ -729,6 +729,5 @@ export {
   SidebarRail,
   SidebarSeparator,
   SidebarTrigger,
-  useSidebar
+  useSidebar,
 };
-
diff --git a/client/src/components/ui/textarea.tsx b/client/src/components/ui/textarea.tsx
index df7c37e..5a73b62 100644
--- a/client/src/components/ui/textarea.tsx
+++ b/client/src/components/ui/textarea.tsx
@@ -19,9 +19,11 @@ function Textarea({
     onCompositionEnd: handleCompositionEnd,
     onKeyDown: handleKeyDown,
   } = useComposition<HTMLTextAreaElement>({
-    onKeyDown: (e) => {
+    onKeyDown: e => {
       // Check if this is an Enter key that should be blocked
-      const isComposing = (e.nativeEvent as any).isComposing || dialogComposition.justEndedComposing();
+      const isComposing =
+        (e.nativeEvent as any).isComposing ||
+        dialogComposition.justEndedComposing();
 
       // If Enter key is pressed while composing or just after composition ended,
       // don't call the user's onKeyDown (this blocks the business logic)
diff --git a/client/src/index.css b/client/src/index.css
index 72b423d..95b8d9f 100644
--- a/client/src/index.css
+++ b/client/src/index.css
@@ -94,7 +94,7 @@
   --muted: oklch(0.274 0.006 286.033);
   --muted-foreground: oklch(0.705 0.015 286.067);
   --accent: oklch(0.274 0.006 286.033);
-  --accent-foreground:  oklch(0.92 0.005 65);
+  --accent-foreground: oklch(0.92 0.005 65);
   --destructive: oklch(0.704 0.191 22.216);
   --destructive-foreground: oklch(0.985 0 0);
   --border: oklch(1 0 0 / 10%);
@@ -108,7 +108,7 @@
   --sidebar: oklch(0.21 0.006 285.885);
   --sidebar-foreground: oklch(0.85 0.005 65);
   --sidebar-accent: oklch(0.274 0.006 286.033);
-  --sidebar-accent-foreground:  oklch(0.985 0 0);
+  --sidebar-accent-foreground: oklch(0.985 0 0);
   --sidebar-border: oklch(1 0 0 / 10%);
   --sidebar-ring: oklch(0.488 0.243 264.376);
 }
@@ -174,4 +174,4 @@
       max-width: 1280px; /* Standard content width */
     }
   }
-}
\ No newline at end of file
+}
diff --git a/client/src/main.tsx b/client/src/main.tsx
index 8adf6f5..056b491 100644
--- a/client/src/main.tsx
+++ b/client/src/main.tsx
@@ -1,5 +1,5 @@
 import { trpc } from "@/lib/trpc";
-import { UNAUTHED_ERR_MSG } from '@shared/const';
+import { UNAUTHED_ERR_MSG } from "@shared/const";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { httpBatchLink, TRPCClientError } from "@trpc/client";
 import { createRoot } from "react-dom/client";
diff --git a/client/src/pages/Applications.tsx b/client/src/pages/Applications.tsx
index cb820a6..91539da 100644
--- a/client/src/pages/Applications.tsx
+++ b/client/src/pages/Applications.tsx
@@ -26,13 +26,17 @@ export default function Applications() {
             <Card key={app.id} className="p-6">
               <div className="flex justify-between items-start">
                 <div>
-                  <h3 className="text-lg font-semibold">Application #{app.id}</h3>
+                  <h3 className="text-lg font-semibold">
+                    Application #{app.id}
+                  </h3>
                   <p className="text-gray-600">Job ID: {app.jobId}</p>
                   <p className="text-sm text-gray-500 mt-2">
                     Applied: {new Date(app.appliedDate).toLocaleDateString()}
                   </p>
                 </div>
-                <Badge className={getStatusColor(app.status)}>{app.status}</Badge>
+                <Badge className={getStatusColor(app.status)}>
+                  {app.status}
+                </Badge>
               </div>
             </Card>
           ))}
diff --git a/client/src/pages/CVBuilder.tsx b/client/src/pages/CVBuilder.tsx
index 9ff25a3..595d84b 100644
--- a/client/src/pages/CVBuilder.tsx
+++ b/client/src/pages/CVBuilder.tsx
@@ -39,7 +39,9 @@ export default function CVBuilder() {
               <Input
                 placeholder="e.g., Senior Developer Resume"
                 value={formData.title}
-                onChange={(e) => setFormData({ ...formData, title: e.target.value })}
+                onChange={e =>
+                  setFormData({ ...formData, title: e.target.value })
+                }
               />
             </div>
 
@@ -48,7 +50,7 @@ export default function CVBuilder() {
               <Textarea
                 placeholder="Write a brief summary about yourself..."
                 value={formData.content.summary}
-                onChange={(e) =>
+                onChange={e =>
                   setFormData({
                     ...formData,
                     content: { ...formData.content, summary: e.target.value },
diff --git a/client/src/pages/CVBuilderEnhanced.tsx b/client/src/pages/CVBuilderEnhanced.tsx
index 38d22d0..1376d80 100644
--- a/client/src/pages/CVBuilderEnhanced.tsx
+++ b/client/src/pages/CVBuilderEnhanced.tsx
@@ -4,7 +4,13 @@ import { Card } from "@/components/ui/card";
 import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { Textarea } from "@/components/ui/textarea";
-import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
 import { trpc } from "@/lib/trpc";
 import { toast } from "sonner";
 import { Loader2 } from "lucide-react";
@@ -101,12 +107,18 @@ export default function CVBuilderEnhanced() {
 
               <div>
                 <Label>Education</Label>
-                <Textarea placeholder="List your educational background..." rows={3} />
+                <Textarea
+                  placeholder="List your educational background..."
+                  rows={3}
+                />
               </div>
 
               <div>
                 <Label>Work Experience</Label>
-                <Textarea placeholder="Describe your professional experience..." rows={4} />
+                <Textarea
+                  placeholder="Describe your professional experience..."
+                  rows={4}
+                />
               </div>
 
               <Button className="w-full">Save Resume</Button>
@@ -114,11 +126,16 @@ export default function CVBuilderEnhanced() {
           </Card>
         ) : (
           <Card className="p-8">
-            <h2 className="text-xl font-semibold mb-6">Tailor Resume for Job</h2>
+            <h2 className="text-xl font-semibold mb-6">
+              Tailor Resume for Job
+            </h2>
             <div className="space-y-6">
               <div>
                 <Label>Select Resume</Label>
-                <Select value={selectedResumeId?.toString() || ""} onValueChange={(v) => setSelectedResumeId(parseInt(v))}>
+                <Select
+                  value={selectedResumeId?.toString() || ""}
+                  onValueChange={v => setSelectedResumeId(parseInt(v))}
+                >
                   <SelectTrigger>
                     <SelectValue placeholder="Choose a resume..." />
                   </SelectTrigger>
@@ -134,7 +151,10 @@ export default function CVBuilderEnhanced() {
 
               <div>
                 <Label>Select Job to Tailor For</Label>
-                <Select value={selectedJobId?.toString() || ""} onValueChange={(v) => setSelectedJobId(parseInt(v))}>
+                <Select
+                  value={selectedJobId?.toString() || ""}
+                  onValueChange={v => setSelectedJobId(parseInt(v))}
+                >
                   <SelectTrigger>
                     <SelectValue placeholder="Choose a job..." />
                   </SelectTrigger>
@@ -150,16 +170,22 @@ export default function CVBuilderEnhanced() {
 
               {tailoredResume && (
                 <div className="bg-blue-50 p-6 rounded-lg">
-                  <h3 className="font-semibold mb-4">Tailored Resume Preview</h3>
+                  <h3 className="font-semibold mb-4">
+                    Tailored Resume Preview
+                  </h3>
                   <div className="prose prose-sm max-w-none">
-                    <pre className="whitespace-pre-wrap text-sm">{JSON.stringify(tailoredResume, null, 2)}</pre>
+                    <pre className="whitespace-pre-wrap text-sm">
+                      {JSON.stringify(tailoredResume, null, 2)}
+                    </pre>
                   </div>
                 </div>
               )}
 
               <Button
                 onClick={handleTailorResume}
-                disabled={tailoringInProgress || !selectedResumeId || !selectedJobId}
+                disabled={
+                  tailoringInProgress || !selectedResumeId || !selectedJobId
+                }
                 className="w-full"
               >
                 {tailoringInProgress ? (
diff --git a/client/src/pages/ComponentShowcase.tsx b/client/src/pages/ComponentShowcase.tsx
index b7725c2..c619b03 100644
--- a/client/src/pages/ComponentShowcase.tsx
+++ b/client/src/pages/ComponentShowcase.tsx
@@ -1028,7 +1028,8 @@ export default function ComponentsShowcase() {
                       <DialogHeader>
                         <DialogTitle>Test Input</DialogTitle>
                         <DialogDescription>
-                          Enter some text below. Press Enter to submit (IME composition supported).
+                          Enter some text below. Press Enter to submit (IME
+                          composition supported).
                         </DialogDescription>
                       </DialogHeader>
                       <div className="space-y-4 py-4">
@@ -1038,7 +1039,7 @@ export default function ComponentsShowcase() {
                             id="dialog-input"
                             placeholder="Type something..."
                             value={dialogInput}
-                            onChange={(e) => setDialogInput(e.target.value)}
+                            onChange={e => setDialogInput(e.target.value)}
                             onKeyDown={handleDialogKeyDown}
                             autoFocus
                           />
@@ -1399,11 +1400,13 @@ export default function ComponentsShowcase() {
                 <div className="space-y-4">
                   <div className="text-sm text-muted-foreground">
                     <p>
-                      A ready-to-use chat interface component that integrates with the LLM system.
-                      Features markdown rendering, auto-scrolling, and loading states.
+                      A ready-to-use chat interface component that integrates
+                      with the LLM system. Features markdown rendering,
+                      auto-scrolling, and loading states.
                     </p>
                     <p className="mt-2">
-                      This is a demo with simulated responses. In a real app, you'd connect it to a tRPC mutation.
+                      This is a demo with simulated responses. In a real app,
+                      you'd connect it to a tRPC mutation.
                     </p>
                   </div>
                   <AIChatBox
diff --git a/client/src/pages/Home.tsx b/client/src/pages/Home.tsx
index 970046a..8e7af24 100644
--- a/client/src/pages/Home.tsx
+++ b/client/src/pages/Home.tsx
@@ -3,7 +3,14 @@ import { Button } from "@/components/ui/button";
 import { Card } from "@/components/ui/card";
 import { Link } from "wouter";
 import { getLoginUrl } from "@/const";
-import { Sparkles, Zap, Brain, Network, TrendingUp, Shield } from "lucide-react";
+import {
+  Sparkles,
+  Zap,
+  Brain,
+  Network,
+  TrendingUp,
+  Shield,
+} from "lucide-react";
 
 export default function Home() {
   const { user, isAuthenticated } = useAuth();
@@ -42,7 +49,8 @@ export default function Home() {
           Your AI-Powered Career Companion
         </h1>
         <p className="text-xl text-gray-600 mb-8 max-w-2xl mx-auto">
-          SprintWork uses advanced AI and machine learning to help you find the perfect job, prepare for interviews, and advance your career.
+          SprintWork uses advanced AI and machine learning to help you find the
+          perfect job, prepare for interviews, and advance your career.
         </p>
         <div className="flex gap-4 justify-center">
           {isAuthenticated ? (
@@ -77,7 +85,9 @@ export default function Home() {
 
       {/* Features Grid */}
       <section className="max-w-7xl mx-auto px-4 py-20">
-        <h2 className="text-3xl font-bold text-center mb-12">Powerful Features</h2>
+        <h2 className="text-3xl font-bold text-center mb-12">
+          Powerful Features
+        </h2>
         <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8">
           {/* AI CV Tailoring */}
           <Card className="p-6 hover:shadow-lg transition">
@@ -86,7 +96,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">AI CV Tailoring</h3>
             </div>
             <p className="text-gray-600">
-              Automatically tailor your resume to match job postings. Our AI optimizes for ATS and highlights your most relevant skills.
+              Automatically tailor your resume to match job postings. Our AI
+              optimizes for ATS and highlights your most relevant skills.
             </p>
           </Card>
 
@@ -97,7 +108,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">Mock Interviews</h3>
             </div>
             <p className="text-gray-600">
-              Practice with AI-powered interviews. Get real-time feedback, scoring, and personalized coaching to ace your interviews.
+              Practice with AI-powered interviews. Get real-time feedback,
+              scoring, and personalized coaching to ace your interviews.
             </p>
           </Card>
 
@@ -108,7 +120,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">Smart Job Matching</h3>
             </div>
             <p className="text-gray-600">
-              Machine learning algorithms match you with jobs that fit your skills, experience, and career goals.
+              Machine learning algorithms match you with jobs that fit your
+              skills, experience, and career goals.
             </p>
           </Card>
 
@@ -119,7 +132,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">Job Aggregation</h3>
             </div>
             <p className="text-gray-600">
-              Access jobs from LinkedIn, Indeed, Upwork, and more in one place. Never miss an opportunity.
+              Access jobs from LinkedIn, Indeed, Upwork, and more in one place.
+              Never miss an opportunity.
             </p>
           </Card>
 
@@ -130,7 +144,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">Networking Hub</h3>
             </div>
             <p className="text-gray-600">
-              Connect with recruiters, mentors, and professionals. Build meaningful relationships that advance your career.
+              Connect with recruiters, mentors, and professionals. Build
+              meaningful relationships that advance your career.
             </p>
           </Card>
 
@@ -141,7 +156,8 @@ export default function Home() {
               <h3 className="text-xl font-semibold">Skill Development</h3>
             </div>
             <p className="text-gray-600">
-              Access personalized learning paths and courses to develop in-demand skills and stay competitive.
+              Access personalized learning paths and courses to develop
+              in-demand skills and stay competitive.
             </p>
           </Card>
         </div>
@@ -156,21 +172,27 @@ export default function Home() {
               <span className="text-2xl font-bold text-blue-600">1</span>
             </div>
             <h3 className="font-semibold mb-2">Create Profile</h3>
-            <p className="text-gray-600">Set up your profile and tell us about your career goals</p>
+            <p className="text-gray-600">
+              Set up your profile and tell us about your career goals
+            </p>
           </div>
           <div className="text-center">
             <div className="bg-indigo-100 rounded-full w-16 h-16 flex items-center justify-center mx-auto mb-4">
               <span className="text-2xl font-bold text-indigo-600">2</span>
             </div>
             <h3 className="font-semibold mb-2">Get Matched</h3>
-            <p className="text-gray-600">AI finds the best job opportunities for you</p>
+            <p className="text-gray-600">
+              AI finds the best job opportunities for you
+            </p>
           </div>
           <div className="text-center">
             <div className="bg-purple-100 rounded-full w-16 h-16 flex items-center justify-center mx-auto mb-4">
               <span className="text-2xl font-bold text-purple-600">3</span>
             </div>
             <h3 className="font-semibold mb-2">Prepare & Apply</h3>
-            <p className="text-gray-600">Tailor your CV and practice interviews</p>
+            <p className="text-gray-600">
+              Tailor your CV and practice interviews
+            </p>
           </div>
           <div className="text-center">
             <div className="bg-green-100 rounded-full w-16 h-16 flex items-center justify-center mx-auto mb-4">
@@ -208,8 +230,13 @@ export default function Home() {
 
       {/* CTA Section */}
       <section className="max-w-7xl mx-auto px-4 py-20 text-center">
-        <h2 className="text-3xl font-bold mb-6">Ready to Transform Your Career?</h2>
-        <p className="text-xl text-gray-600 mb-8">Join thousands of professionals using SprintWork to land their dream jobs.</p>
+        <h2 className="text-3xl font-bold mb-6">
+          Ready to Transform Your Career?
+        </h2>
+        <p className="text-xl text-gray-600 mb-8">
+          Join thousands of professionals using SprintWork to land their dream
+          jobs.
+        </p>
         {!isAuthenticated && (
           <a href={getLoginUrl()}>
             <Button size="lg" className="bg-blue-600 hover:bg-blue-700">
diff --git a/client/src/pages/InterviewSession.tsx b/client/src/pages/InterviewSession.tsx
index e1d888a..538eebd 100644
--- a/client/src/pages/InterviewSession.tsx
+++ b/client/src/pages/InterviewSession.tsx
@@ -30,10 +30,14 @@ const SAMPLE_QUESTIONS = {
 
 export default function InterviewSession() {
   const { user } = useAuth();
-  const [interviewType, setInterviewType] = useState<"behavioral" | "technical" | "general">("behavioral");
+  const [interviewType, setInterviewType] = useState<
+    "behavioral" | "technical" | "general"
+  >("behavioral");
   const [sessionStarted, setSessionStarted] = useState(false);
   const [currentQuestion, setCurrentQuestion] = useState<string>("");
-  const [answers, setAnswers] = useState<Array<{ question: string; answer: string; feedback?: string }>>([]);
+  const [answers, setAnswers] = useState<
+    Array<{ question: string; answer: string; feedback?: string }>
+  >([]);
   const [currentAnswer, setCurrentAnswer] = useState("");
   const [isRecording, setIsRecording] = useState(false);
   const [cameraOn, setCameraOn] = useState(false);
@@ -43,7 +47,8 @@ export default function InterviewSession() {
 
   const createInterviewMutation = trpc.mockInterviews.create.useMutation();
   const submitAnswerMutation = trpc.mockInterviews.submitAnswer.useMutation();
-  const completeInterviewMutation = trpc.mockInterviews.completeInterview.useMutation();
+  const completeInterviewMutation =
+    trpc.mockInterviews.completeInterview.useMutation();
 
   const startInterview = async () => {
     try {
@@ -112,7 +117,9 @@ export default function InterviewSession() {
   const toggleCamera = async () => {
     if (!cameraOn) {
       try {
-        const stream = await navigator.mediaDevices.getUserMedia({ video: true });
+        const stream = await navigator.mediaDevices.getUserMedia({
+          video: true,
+        });
         if (videoRef.current) {
           videoRef.current.srcObject = stream;
         }
@@ -124,7 +131,7 @@ export default function InterviewSession() {
     } else {
       if (videoRef.current?.srcObject) {
         const tracks = (videoRef.current.srcObject as MediaStream).getTracks();
-        tracks.forEach((track) => track.stop());
+        tracks.forEach(track => track.stop());
       }
       setCameraOn(false);
     }
@@ -146,12 +153,16 @@ export default function InterviewSession() {
           <h1 className="text-3xl font-bold mb-8">Mock Interview</h1>
 
           <Card className="p-8">
-            <h2 className="text-2xl font-semibold mb-6">Start a Practice Interview</h2>
+            <h2 className="text-2xl font-semibold mb-6">
+              Start a Practice Interview
+            </h2>
 
             <div className="mb-6">
-              <label className="block text-sm font-medium mb-3">Interview Type</label>
+              <label className="block text-sm font-medium mb-3">
+                Interview Type
+              </label>
               <div className="grid grid-cols-3 gap-4">
-                {(["behavioral", "technical", "general"] as const).map((type) => (
+                {(["behavioral", "technical", "general"] as const).map(type => (
                   <button
                     key={type}
                     onClick={() => setInterviewType(type)}
@@ -178,8 +189,15 @@ export default function InterviewSession() {
               </p>
             </div>
 
-            <Button onClick={startInterview} size="lg" className="w-full" disabled={createInterviewMutation.isPending}>
-              {createInterviewMutation.isPending ? "Starting..." : "Start Interview"}
+            <Button
+              onClick={startInterview}
+              size="lg"
+              className="w-full"
+              disabled={createInterviewMutation.isPending}
+            >
+              {createInterviewMutation.isPending
+                ? "Starting..."
+                : "Start Interview"}
             </Button>
           </Card>
         </div>
@@ -215,7 +233,11 @@ export default function InterviewSession() {
               onClick={toggleCamera}
               className="flex items-center gap-2"
             >
-              {cameraOn ? <Video className="w-4 h-4" /> : <VideoOff className="w-4 h-4" />}
+              {cameraOn ? (
+                <Video className="w-4 h-4" />
+              ) : (
+                <VideoOff className="w-4 h-4" />
+              )}
               {cameraOn ? "Camera On" : "Camera Off"}
             </Button>
             <Button
@@ -224,22 +246,35 @@ export default function InterviewSession() {
               onClick={toggleMicrophone}
               className="flex items-center gap-2"
             >
-              {isRecording ? <Mic className="w-4 h-4" /> : <MicOff className="w-4 h-4" />}
+              {isRecording ? (
+                <Mic className="w-4 h-4" />
+              ) : (
+                <MicOff className="w-4 h-4" />
+              )}
               {isRecording ? "Recording" : "Microphone"}
             </Button>
           </div>
-          {cameraOn && <video ref={videoRef} autoPlay muted className="w-full mt-4 rounded-lg bg-black" />}
+          {cameraOn && (
+            <video
+              ref={videoRef}
+              autoPlay
+              muted
+              className="w-full mt-4 rounded-lg bg-black"
+            />
+          )}
         </Card>
 
         <Card className="p-6 mb-8">
-          <h2 className="text-xl font-semibold mb-4">Question {questionIndex + 1}</h2>
+          <h2 className="text-xl font-semibold mb-4">
+            Question {questionIndex + 1}
+          </h2>
           <p className="text-lg text-gray-800 mb-6">{currentQuestion}</p>
 
           <label className="block text-sm font-medium mb-2">Your Answer</label>
           <Textarea
             placeholder="Type your answer here..."
             value={currentAnswer}
-            onChange={(e) => setCurrentAnswer(e.target.value)}
+            onChange={e => setCurrentAnswer(e.target.value)}
             className="mb-4 min-h-[150px]"
           />
 
@@ -266,10 +301,16 @@ export default function InterviewSession() {
               {answers.map((item, idx) => (
                 <div key={idx} className="p-4 bg-gray-50 rounded-lg border">
                   <div className="mb-2">
-                    <p className="font-medium">Q{idx + 1}: {item.question.substring(0, 50)}...</p>
+                    <p className="font-medium">
+                      Q{idx + 1}: {item.question.substring(0, 50)}...
+                    </p>
                   </div>
                   <p className="text-sm text-gray-700 mb-2">{item.answer}</p>
-                  {item.feedback && <p className="text-sm text-gray-600 italic">{item.feedback}</p>}
+                  {item.feedback && (
+                    <p className="text-sm text-gray-600 italic">
+                      {item.feedback}
+                    </p>
+                  )}
                 </div>
               ))}
             </div>
diff --git a/client/src/pages/JobDetail.tsx b/client/src/pages/JobDetail.tsx
index c260573..c887119 100644
--- a/client/src/pages/JobDetail.tsx
+++ b/client/src/pages/JobDetail.tsx
@@ -47,12 +47,16 @@ export default function JobDetail() {
 
           <div className="mb-8">
             <h2 className="text-xl font-semibold mb-4">Description</h2>
-            <p className="text-gray-700 whitespace-pre-wrap">{job.description}</p>
+            <p className="text-gray-700 whitespace-pre-wrap">
+              {job.description}
+            </p>
           </div>
 
           <div className="mb-8">
             <h2 className="text-xl font-semibold mb-4">Requirements</h2>
-            <p className="text-gray-700 whitespace-pre-wrap">{job.requirements}</p>
+            <p className="text-gray-700 whitespace-pre-wrap">
+              {job.requirements}
+            </p>
           </div>
 
           <Button onClick={handleApply} size="lg">
diff --git a/client/src/pages/JobSearch.tsx b/client/src/pages/JobSearch.tsx
index 10355ff..4d75158 100644
--- a/client/src/pages/JobSearch.tsx
+++ b/client/src/pages/JobSearch.tsx
@@ -21,12 +21,14 @@ export default function JobSearch() {
             <Input
               placeholder="Job title"
               value={filters.title}
-              onChange={(e) => setFilters({ ...filters, title: e.target.value })}
+              onChange={e => setFilters({ ...filters, title: e.target.value })}
             />
             <Input
               placeholder="Location"
               value={filters.location}
-              onChange={(e) => setFilters({ ...filters, location: e.target.value })}
+              onChange={e =>
+                setFilters({ ...filters, location: e.target.value })
+              }
             />
             <Button>Search</Button>
           </div>
diff --git a/client/src/pages/JobSeekerDashboard.tsx b/client/src/pages/JobSeekerDashboard.tsx
index 3c09dd2..d95c99d 100644
--- a/client/src/pages/JobSeekerDashboard.tsx
+++ b/client/src/pages/JobSeekerDashboard.tsx
@@ -7,7 +7,9 @@ import { trpc } from "@/lib/trpc";
 export default function JobSeekerDashboard() {
   const { user } = useAuth();
   const { data: applications } = trpc.applications.list.useQuery();
-  const { data: recommendations } = trpc.recommendations.getMatches.useQuery({});
+  const { data: recommendations } = trpc.recommendations.getMatches.useQuery(
+    {}
+  );
 
   return (
     <div className="min-h-screen bg-gray-50">
@@ -16,15 +18,21 @@ export default function JobSeekerDashboard() {
 
         <div className="grid grid-cols-1 md:grid-cols-3 gap-6 mb-8">
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Applications</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Applications
+            </h3>
             <p className="text-3xl font-bold">{applications?.length || 0}</p>
           </Card>
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Recommendations</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Recommendations
+            </h3>
             <p className="text-3xl font-bold">{recommendations?.length || 0}</p>
           </Card>
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Profile Strength</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Profile Strength
+            </h3>
             <p className="text-3xl font-bold">75%</p>
           </Card>
         </div>
diff --git a/client/src/pages/Login.tsx b/client/src/pages/Login.tsx
index b1cf8c0..e57deb9 100644
--- a/client/src/pages/Login.tsx
+++ b/client/src/pages/Login.tsx
@@ -1,6 +1,12 @@
 import { useState } from "react";
 import { Button } from "@/components/ui/button";
-import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
 import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { Loader2, Mail, Lock, User } from "lucide-react";
@@ -66,7 +72,7 @@ export default function Login() {
   };
 
   const toggleMode = () => {
-    setMode((m) => (m === "signin" ? "signup" : "signin"));
+    setMode(m => (m === "signin" ? "signup" : "signin"));
     setError(null);
   };
 
@@ -74,8 +80,12 @@ export default function Login() {
     <div className="min-h-screen flex items-center justify-center bg-gradient-to-br from-blue-50 to-indigo-100 p-4">
       <Card className="w-full max-w-md shadow-lg">
         <CardHeader className="space-y-2 text-center">
-          <CardTitle className="text-3xl font-bold tracking-tight">SprintWork</CardTitle>
-          <CardDescription className="text-base">Your AI-Powered Career Companion</CardDescription>
+          <CardTitle className="text-3xl font-bold tracking-tight">
+            SprintWork
+          </CardTitle>
+          <CardDescription className="text-base">
+            Your AI-Powered Career Companion
+          </CardDescription>
           <p className="text-sm text-gray-500 pt-1">
             {mode === "signin"
               ? "Sign in to continue your career journey"
@@ -96,7 +106,7 @@ export default function Login() {
                     type="text"
                     placeholder="Jane Smith"
                     value={name}
-                    onChange={(e) => setName(e.target.value)}
+                    onChange={e => setName(e.target.value)}
                     className="pl-9"
                     autoComplete="name"
                   />
@@ -114,7 +124,7 @@ export default function Login() {
                   type="email"
                   placeholder="you@example.com"
                   value={email}
-                  onChange={(e) => setEmail(e.target.value)}
+                  onChange={e => setEmail(e.target.value)}
                   className="pl-9"
                   required
                   autoComplete="email"
@@ -130,12 +140,18 @@ export default function Login() {
                 <Input
                   id="password"
                   type="password"
-                  placeholder={mode === "signup" ? "At least 6 characters" : "Your password"}
+                  placeholder={
+                    mode === "signup"
+                      ? "At least 6 characters"
+                      : "Your password"
+                  }
                   value={password}
-                  onChange={(e) => setPassword(e.target.value)}
+                  onChange={e => setPassword(e.target.value)}
                   className="pl-9"
                   required
-                  autoComplete={mode === "signup" ? "new-password" : "current-password"}
+                  autoComplete={
+                    mode === "signup" ? "new-password" : "current-password"
+                  }
                   minLength={mode === "signup" ? 6 : 1}
                 />
               </div>
diff --git a/client/src/pages/Messages.tsx b/client/src/pages/Messages.tsx
index b7f3acf..1c7d576 100644
--- a/client/src/pages/Messages.tsx
+++ b/client/src/pages/Messages.tsx
@@ -18,7 +18,9 @@ export default function Messages() {
           <div className="mb-6 max-h-96 overflow-y-auto">
             {messages?.map((msg: any) => (
               <div key={msg.id} className="mb-4 p-3 bg-gray-50 rounded">
-                <p className="text-sm text-gray-600">From: User {msg.senderId}</p>
+                <p className="text-sm text-gray-600">
+                  From: User {msg.senderId}
+                </p>
                 <p className="mt-2">{msg.content}</p>
               </div>
             ))}
@@ -28,7 +30,7 @@ export default function Messages() {
             <Input
               placeholder="Type a message..."
               value={newMessage}
-              onChange={(e) => setNewMessage(e.target.value)}
+              onChange={e => setNewMessage(e.target.value)}
             />
             <Button>Send</Button>
           </div>
diff --git a/client/src/pages/MockInterviews.tsx b/client/src/pages/MockInterviews.tsx
index a4be8ce..c3254b5 100644
--- a/client/src/pages/MockInterviews.tsx
+++ b/client/src/pages/MockInterviews.tsx
@@ -25,11 +25,18 @@ export default function MockInterviews() {
         <h1 className="text-3xl font-bold mb-8">Mock Interviews</h1>
 
         <div className="grid grid-cols-1 md:grid-cols-2 gap-6 mb-8">
-          {["behavioral", "technical", "case_study", "general"].map((type) => (
+          {["behavioral", "technical", "case_study", "general"].map(type => (
             <Card key={type} className="p-6">
-              <h3 className="text-lg font-semibold mb-4 capitalize">{type} Interview</h3>
-              <p className="text-gray-600 mb-4">Practice your {type} interview skills</p>
-              <Button onClick={() => handleStartInterview(type)} className="w-full">
+              <h3 className="text-lg font-semibold mb-4 capitalize">
+                {type} Interview
+              </h3>
+              <p className="text-gray-600 mb-4">
+                Practice your {type} interview skills
+              </p>
+              <Button
+                onClick={() => handleStartInterview(type)}
+                className="w-full"
+              >
                 Start Interview
               </Button>
             </Card>
@@ -41,9 +48,15 @@ export default function MockInterviews() {
           <div className="space-y-3">
             {interviews?.map((interview: any) => (
               <div key={interview.id} className="p-4 border rounded-lg">
-                <h3 className="font-semibold capitalize">{interview.interviewType}</h3>
-                <p className="text-sm text-gray-600">Score: {interview.score || "N/A"}</p>
-                <p className="text-sm text-gray-600">Status: {interview.status}</p>
+                <h3 className="font-semibold capitalize">
+                  {interview.interviewType}
+                </h3>
+                <p className="text-sm text-gray-600">
+                  Score: {interview.score || "N/A"}
+                </p>
+                <p className="text-sm text-gray-600">
+                  Status: {interview.status}
+                </p>
               </div>
             ))}
           </div>
diff --git a/client/src/pages/MockInterviewsEnhanced.tsx b/client/src/pages/MockInterviewsEnhanced.tsx
index 3117f94..6961bcb 100644
--- a/client/src/pages/MockInterviewsEnhanced.tsx
+++ b/client/src/pages/MockInterviewsEnhanced.tsx
@@ -1,7 +1,13 @@
 import { useState } from "react";
 import { Button } from "@/components/ui/button";
 import { Card } from "@/components/ui/card";
-import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
 import { Link } from "wouter";
 import { trpc } from "@/lib/trpc";
 import { toast } from "sonner";
@@ -9,7 +15,8 @@ import { Loader2, Play } from "lucide-react";
 
 export default function MockInterviewsEnhanced() {
   const [selectedType, setSelectedType] = useState<string>("");
-  const [selectedDifficulty, setSelectedDifficulty] = useState<string>("medium");
+  const [selectedDifficulty, setSelectedDifficulty] =
+    useState<string>("medium");
   const [startingInterview, setStartingInterview] = useState(false);
 
   const { data: interviews } = trpc.mockInterviews.list.useQuery();
@@ -59,7 +66,9 @@ export default function MockInterviewsEnhanced() {
             <h2 className="text-xl font-semibold mb-6">Start New Interview</h2>
             <div className="space-y-4">
               <div>
-                <label className="text-sm font-medium mb-2 block">Interview Type</label>
+                <label className="text-sm font-medium mb-2 block">
+                  Interview Type
+                </label>
                 <Select value={selectedType} onValueChange={setSelectedType}>
                   <SelectTrigger>
                     <SelectValue placeholder="Select type..." />
@@ -74,8 +83,13 @@ export default function MockInterviewsEnhanced() {
               </div>
 
               <div>
-                <label className="text-sm font-medium mb-2 block">Difficulty Level</label>
-                <Select value={selectedDifficulty} onValueChange={setSelectedDifficulty}>
+                <label className="text-sm font-medium mb-2 block">
+                  Difficulty Level
+                </label>
+                <Select
+                  value={selectedDifficulty}
+                  onValueChange={setSelectedDifficulty}
+                >
                   <SelectTrigger>
                     <SelectValue placeholder="Select difficulty..." />
                   </SelectTrigger>
@@ -119,19 +133,28 @@ export default function MockInterviewsEnhanced() {
 
           {/* Interview History */}
           <div className="lg:col-span-2">
-            <h2 className="text-xl font-semibold mb-6">Your Interview History</h2>
+            <h2 className="text-xl font-semibold mb-6">
+              Your Interview History
+            </h2>
             <div className="space-y-4">
               {interviews && interviews.length > 0 ? (
                 interviews.map((interview: any) => (
-                  <Card key={interview.id} className="p-6 hover:shadow-lg transition">
+                  <Card
+                    key={interview.id}
+                    className="p-6 hover:shadow-lg transition"
+                  >
                     <div className="flex justify-between items-start mb-4">
                       <div>
-                        <h3 className="font-semibold capitalize text-lg">{interview.interviewType} Interview</h3>
+                        <h3 className="font-semibold capitalize text-lg">
+                          {interview.interviewType} Interview
+                        </h3>
                         <p className="text-sm text-gray-600">
                           {new Date(interview.createdAt).toLocaleDateString()}
                         </p>
                       </div>
-                      <span className={`px-3 py-1 rounded-full text-sm font-medium ${getStatusBadgeColor(interview.status)}`}>
+                      <span
+                        className={`px-3 py-1 rounded-full text-sm font-medium ${getStatusBadgeColor(interview.status)}`}
+                      >
                         {interview.status.replace(/_/g, " ")}
                       </span>
                     </div>
@@ -139,8 +162,12 @@ export default function MockInterviewsEnhanced() {
                     {interview.score && (
                       <div className="mb-4">
                         <div className="flex justify-between mb-2">
-                          <span className="text-sm font-medium">Performance Score</span>
-                          <span className="text-sm font-bold text-blue-600">{interview.score}/100</span>
+                          <span className="text-sm font-medium">
+                            Performance Score
+                          </span>
+                          <span className="text-sm font-bold text-blue-600">
+                            {interview.score}/100
+                          </span>
                         </div>
                         <div className="w-full bg-gray-200 rounded-full h-2">
                           <div
@@ -154,7 +181,9 @@ export default function MockInterviewsEnhanced() {
                     {interview.feedback && (
                       <div className="bg-gray-50 p-4 rounded-lg mb-4">
                         <p className="text-sm font-medium mb-2">Feedback:</p>
-                        <p className="text-sm text-gray-700">{interview.feedback.substring(0, 200)}...</p>
+                        <p className="text-sm text-gray-700">
+                          {interview.feedback.substring(0, 200)}...
+                        </p>
                       </div>
                     )}
 
@@ -174,8 +203,13 @@ export default function MockInterviewsEnhanced() {
                 ))
               ) : (
                 <Card className="p-8 text-center">
-                  <p className="text-gray-600 mb-4">No interviews yet. Start your first mock interview!</p>
-                  <Button onClick={handleStartInterview} disabled={!selectedType}>
+                  <p className="text-gray-600 mb-4">
+                    No interviews yet. Start your first mock interview!
+                  </p>
+                  <Button
+                    onClick={handleStartInterview}
+                    disabled={!selectedType}
+                  >
                     Start Interview
                   </Button>
                 </Card>
diff --git a/client/src/pages/Networking.tsx b/client/src/pages/Networking.tsx
index 962be80..30c9a21 100644
--- a/client/src/pages/Networking.tsx
+++ b/client/src/pages/Networking.tsx
@@ -12,7 +12,9 @@ export default function Networking() {
 
         <Card className="p-6 mb-8">
           <h2 className="text-xl font-semibold mb-4">Your Connections</h2>
-          <p className="text-gray-600 mb-4">Total: {connections?.length || 0}</p>
+          <p className="text-gray-600 mb-4">
+            Total: {connections?.length || 0}
+          </p>
           <div className="space-y-3">
             {connections?.map((conn: any) => (
               <div key={conn.id} className="p-4 border rounded-lg">
diff --git a/client/src/pages/OAuthCallback.tsx b/client/src/pages/OAuthCallback.tsx
index 4d7af15..9442c47 100644
--- a/client/src/pages/OAuthCallback.tsx
+++ b/client/src/pages/OAuthCallback.tsx
@@ -1,7 +1,13 @@
 import { useEffect, useState } from "react";
 import { useLocation } from "wouter";
 import { Loader2 } from "lucide-react";
-import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
 
 /**
  * OAuth Callback Handler
@@ -17,7 +23,11 @@ export default function OAuthCallback() {
       try {
         // Extract provider from URL path
         const pathMatch = location.match(/\/oauth\/callback\/(\w+)/);
-        const provider = pathMatch?.[1] as "google" | "github" | "linkedin" | undefined;
+        const provider = pathMatch?.[1] as
+          | "google"
+          | "github"
+          | "linkedin"
+          | undefined;
 
         if (!provider) {
           setError("Invalid callback URL");
@@ -56,7 +66,9 @@ export default function OAuthCallback() {
 
         if (!response.ok) {
           const errorData = await response.json();
-          setError(errorData.message || `Authentication failed: ${response.statusText}`);
+          setError(
+            errorData.message || `Authentication failed: ${response.statusText}`
+          );
           return;
         }
 
@@ -70,7 +82,11 @@ export default function OAuthCallback() {
         }, 1000);
       } catch (err) {
         console.error("OAuth callback error:", err);
-        setError(err instanceof Error ? err.message : "An error occurred during authentication");
+        setError(
+          err instanceof Error
+            ? err.message
+            : "An error occurred during authentication"
+        );
       }
     };
 
@@ -88,7 +104,9 @@ export default function OAuthCallback() {
         <CardContent className="flex flex-col items-center justify-center py-8">
           {error ? (
             <div className="text-center space-y-4">
-              <div className="text-red-600 font-semibold">Authentication Failed</div>
+              <div className="text-red-600 font-semibold">
+                Authentication Failed
+              </div>
               <p className="text-sm text-gray-600">{error}</p>
               <button
                 onClick={() => (window.location.href = "/")}
diff --git a/client/src/pages/Onboarding.tsx b/client/src/pages/Onboarding.tsx
index 13940fa..ec66d77 100644
--- a/client/src/pages/Onboarding.tsx
+++ b/client/src/pages/Onboarding.tsx
@@ -9,7 +9,9 @@ import { toast } from "sonner";
 
 export default function Onboarding() {
   const [step, setStep] = useState(1);
-  const [userType, setUserType] = useState<"job_seeker" | "recruiter">("job_seeker");
+  const [userType, setUserType] = useState<"job_seeker" | "recruiter">(
+    "job_seeker"
+  );
   const [, navigate] = useLocation();
   const [formData, setFormData] = useState({
     headline: "",
@@ -76,7 +78,9 @@ export default function Onboarding() {
                 >
                   <div className="text-2xl mb-2">🔍</div>
                   <h3 className="font-semibold">Job Seeker</h3>
-                  <p className="text-sm text-gray-600">Find your next opportunity</p>
+                  <p className="text-sm text-gray-600">
+                    Find your next opportunity
+                  </p>
                 </button>
                 <button
                   onClick={() => setUserType("recruiter")}
@@ -100,7 +104,9 @@ export default function Onboarding() {
         ) : (
           <div className="space-y-6">
             <h2 className="text-xl font-semibold">
-              {userType === "job_seeker" ? "Tell us about yourself" : "Tell us about your company"}
+              {userType === "job_seeker"
+                ? "Tell us about yourself"
+                : "Tell us about your company"}
             </h2>
 
             {userType === "job_seeker" ? (
@@ -110,7 +116,9 @@ export default function Onboarding() {
                   <Input
                     placeholder="e.g., Full Stack Developer"
                     value={formData.headline}
-                    onChange={(e) => setFormData({ ...formData, headline: e.target.value })}
+                    onChange={e =>
+                      setFormData({ ...formData, headline: e.target.value })
+                    }
                   />
                 </div>
                 <div>
@@ -118,7 +126,9 @@ export default function Onboarding() {
                   <Input
                     placeholder="e.g., Senior Developer"
                     value={formData.currentRole}
-                    onChange={(e) => setFormData({ ...formData, currentRole: e.target.value })}
+                    onChange={e =>
+                      setFormData({ ...formData, currentRole: e.target.value })
+                    }
                   />
                 </div>
                 <div>
@@ -127,8 +137,11 @@ export default function Onboarding() {
                     type="number"
                     placeholder="5"
                     value={formData.yearsExperience}
-                    onChange={(e) =>
-                      setFormData({ ...formData, yearsExperience: parseInt(e.target.value) })
+                    onChange={e =>
+                      setFormData({
+                        ...formData,
+                        yearsExperience: parseInt(e.target.value),
+                      })
                     }
                   />
                 </div>
@@ -140,7 +153,9 @@ export default function Onboarding() {
                   <Input
                     placeholder="Your company name"
                     value={formData.companyName}
-                    onChange={(e) => setFormData({ ...formData, companyName: e.target.value })}
+                    onChange={e =>
+                      setFormData({ ...formData, companyName: e.target.value })
+                    }
                   />
                 </div>
                 <div>
@@ -148,17 +163,31 @@ export default function Onboarding() {
                   <Input
                     placeholder="e.g., Hiring Manager"
                     value={formData.jobTitle}
-                    onChange={(e) => setFormData({ ...formData, jobTitle: e.target.value })}
+                    onChange={e =>
+                      setFormData({ ...formData, jobTitle: e.target.value })
+                    }
                   />
                 </div>
               </>
             )}
 
             <div className="flex gap-4">
-              <Button variant="outline" onClick={() => setStep(1)} className="flex-1">
+              <Button
+                variant="outline"
+                onClick={() => setStep(1)}
+                className="flex-1"
+              >
                 Back
               </Button>
-              <Button onClick={handleNext} className="flex-1" disabled={switchUserTypeMutation.isPending || jobSeekerMutation.isPending || recruiterMutation.isPending}>
+              <Button
+                onClick={handleNext}
+                className="flex-1"
+                disabled={
+                  switchUserTypeMutation.isPending ||
+                  jobSeekerMutation.isPending ||
+                  recruiterMutation.isPending
+                }
+              >
                 Complete Setup
               </Button>
             </div>
diff --git a/client/src/pages/PostJob.tsx b/client/src/pages/PostJob.tsx
index 0a6ba38..163bf5e 100644
--- a/client/src/pages/PostJob.tsx
+++ b/client/src/pages/PostJob.tsx
@@ -43,7 +43,9 @@ export default function PostJob() {
               <Input
                 placeholder="e.g., Senior Developer"
                 value={formData.title}
-                onChange={(e) => setFormData({ ...formData, title: e.target.value })}
+                onChange={e =>
+                  setFormData({ ...formData, title: e.target.value })
+                }
               />
             </div>
 
@@ -53,7 +55,9 @@ export default function PostJob() {
                 placeholder="Job description..."
                 rows={6}
                 value={formData.description}
-                onChange={(e) => setFormData({ ...formData, description: e.target.value })}
+                onChange={e =>
+                  setFormData({ ...formData, description: e.target.value })
+                }
               />
             </div>
 
@@ -63,7 +67,9 @@ export default function PostJob() {
                 placeholder="Job requirements..."
                 rows={4}
                 value={formData.requirements}
-                onChange={(e) => setFormData({ ...formData, requirements: e.target.value })}
+                onChange={e =>
+                  setFormData({ ...formData, requirements: e.target.value })
+                }
               />
             </div>
 
@@ -73,7 +79,9 @@ export default function PostJob() {
                 <Input
                   placeholder="e.g., $100,000 - $150,000"
                   value={formData.salary}
-                  onChange={(e) => setFormData({ ...formData, salary: e.target.value })}
+                  onChange={e =>
+                    setFormData({ ...formData, salary: e.target.value })
+                  }
                 />
               </div>
               <div>
@@ -81,14 +89,19 @@ export default function PostJob() {
                 <Input
                   placeholder="e.g., San Francisco, CA"
                   value={formData.location}
-                  onChange={(e) => setFormData({ ...formData, location: e.target.value })}
+                  onChange={e =>
+                    setFormData({ ...formData, location: e.target.value })
+                  }
                 />
               </div>
             </div>
 
             <div className="flex gap-4">
               <Button onClick={handleSubmit}>Post Job</Button>
-              <Button variant="outline" onClick={() => navigate("/recruiter/jobs")}>
+              <Button
+                variant="outline"
+                onClick={() => navigate("/recruiter/jobs")}
+              >
                 Cancel
               </Button>
             </div>
diff --git a/client/src/pages/Profile.tsx b/client/src/pages/Profile.tsx
index 644369f..3b0f322 100644
--- a/client/src/pages/Profile.tsx
+++ b/client/src/pages/Profile.tsx
@@ -3,7 +3,13 @@ import { Button } from "@/components/ui/button";
 import { Card } from "@/components/ui/card";
 import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
-import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog";
+import {
+  Dialog,
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+} from "@/components/ui/dialog";
 import { trpc } from "@/lib/trpc";
 import { useAuth } from "@/_core/hooks/useAuth";
 import { toast } from "sonner";
@@ -13,14 +19,21 @@ import { MobileHeader } from "@/components/MobileHeader";
 export default function Profile() {
   const { user } = useAuth();
   const [isSyncing, setIsSyncing] = useState(false);
-  
+
   const { data: skills, refetch: refetchSkills } = trpc.skills.list.useQuery();
-  const { data: externalProfiles, refetch: refetchProfiles } = trpc.externalProfiles.list.useQuery();
-  
+  const { data: externalProfiles, refetch: refetchProfiles } =
+    trpc.externalProfiles.list.useQuery();
+
   const [showAddSkill, setShowAddSkill] = useState(false);
   const [showAddProfile, setShowAddProfile] = useState(false);
-  const [skillForm, setSkillForm] = useState({ skillName: "", proficiencyLevel: "intermediate" as const });
-  const [profileForm, setProfileForm] = useState({ platform: "github" as const, profileUrl: "" });
+  const [skillForm, setSkillForm] = useState({
+    skillName: "",
+    proficiencyLevel: "intermediate" as const,
+  });
+  const [profileForm, setProfileForm] = useState({
+    platform: "github" as const,
+    profileUrl: "",
+  });
 
   const addSkillMutation = trpc.skills.add.useMutation();
   const addProfileMutation = trpc.externalProfiles.add.useMutation();
@@ -31,12 +44,16 @@ export default function Profile() {
   useEffect(() => {
     const syncProfileData = async () => {
       if (!externalProfiles || externalProfiles.length === 0) return;
-      
+
       setIsSyncing(true);
       try {
         // Find GitHub and LinkedIn profiles
-        const githubProfile = externalProfiles.find((p: any) => p.platform === "github");
-        const linkedinProfile = externalProfiles.find((p: any) => p.platform === "linkedin");
+        const githubProfile = externalProfiles.find(
+          (p: any) => p.platform === "github"
+        );
+        const linkedinProfile = externalProfiles.find(
+          (p: any) => p.platform === "linkedin"
+        );
 
         // Simulate syncing data from profiles
         // In production, this would call backend APIs to fetch and parse profile data
@@ -159,11 +176,19 @@ export default function Profile() {
             </div>
             <div>
               <Label>Location</Label>
-              <Input value={user?.location || ""} disabled placeholder="Auto-synced from GitHub/LinkedIn" />
+              <Input
+                value={user?.location || ""}
+                disabled
+                placeholder="Auto-synced from GitHub/LinkedIn"
+              />
             </div>
             <div>
               <Label>Bio</Label>
-              <Input value={user?.bio || ""} disabled placeholder="Auto-synced from GitHub/LinkedIn" />
+              <Input
+                value={user?.bio || ""}
+                disabled
+                placeholder="Auto-synced from GitHub/LinkedIn"
+              />
             </div>
           </div>
         </Card>
@@ -186,7 +211,12 @@ export default function Profile() {
                     <Input
                       placeholder="e.g., React, Python, etc."
                       value={skillForm.skillName}
-                      onChange={(e) => setSkillForm({ ...skillForm, skillName: e.target.value })}
+                      onChange={e =>
+                        setSkillForm({
+                          ...skillForm,
+                          skillName: e.target.value,
+                        })
+                      }
                     />
                   </div>
                   <div>
@@ -194,7 +224,12 @@ export default function Profile() {
                     <select
                       className="w-full px-3 py-2 border rounded-md"
                       value={skillForm.proficiencyLevel}
-                      onChange={(e) => setSkillForm({ ...skillForm, proficiencyLevel: e.target.value as any })}
+                      onChange={e =>
+                        setSkillForm({
+                          ...skillForm,
+                          proficiencyLevel: e.target.value as any,
+                        })
+                      }
                     >
                       <option value="beginner">Beginner</option>
                       <option value="intermediate">Intermediate</option>
@@ -213,10 +248,15 @@ export default function Profile() {
           <div className="space-y-2">
             {skills && skills.length > 0 ? (
               skills.map((skill: any) => (
-                <div key={skill.id} className="p-3 bg-gray-50 rounded flex justify-between items-center gap-2">
+                <div
+                  key={skill.id}
+                  className="p-3 bg-gray-50 rounded flex justify-between items-center gap-2"
+                >
                   <div className="flex-1">
                     <p className="font-medium">{skill.skillName}</p>
-                    <p className="text-sm text-gray-600">{skill.proficiencyLevel}</p>
+                    <p className="text-sm text-gray-600">
+                      {skill.proficiencyLevel}
+                    </p>
                   </div>
                   <Button
                     variant="outline"
@@ -229,7 +269,10 @@ export default function Profile() {
                 </div>
               ))
             ) : (
-              <p className="text-gray-500">No skills added yet. Click "Sync from GitHub & LinkedIn" to auto-populate skills.</p>
+              <p className="text-gray-500">
+                No skills added yet. Click "Sync from GitHub & LinkedIn" to
+                auto-populate skills.
+              </p>
             )}
           </div>
         </Card>
@@ -252,7 +295,12 @@ export default function Profile() {
                     <select
                       className="w-full px-3 py-2 border rounded-md"
                       value={profileForm.platform}
-                      onChange={(e) => setProfileForm({ ...profileForm, platform: e.target.value as any })}
+                      onChange={e =>
+                        setProfileForm({
+                          ...profileForm,
+                          platform: e.target.value as any,
+                        })
+                      }
                     >
                       <option value="github">GitHub</option>
                       <option value="linkedin">LinkedIn</option>
@@ -266,7 +314,12 @@ export default function Profile() {
                     <Input
                       placeholder="https://..."
                       value={profileForm.profileUrl}
-                      onChange={(e) => setProfileForm({ ...profileForm, profileUrl: e.target.value })}
+                      onChange={e =>
+                        setProfileForm({
+                          ...profileForm,
+                          profileUrl: e.target.value,
+                        })
+                      }
                     />
                   </div>
                   <Button onClick={handleAddProfile} className="w-full">
@@ -280,7 +333,10 @@ export default function Profile() {
           <div className="space-y-2">
             {externalProfiles && externalProfiles.length > 0 ? (
               externalProfiles.map((profile: any) => (
-                <div key={profile.id} className="p-3 bg-gray-50 rounded flex justify-between items-center gap-2">
+                <div
+                  key={profile.id}
+                  className="p-3 bg-gray-50 rounded flex justify-between items-center gap-2"
+                >
                   <div className="flex-1 min-w-0">
                     <p className="font-medium capitalize">{profile.platform}</p>
                     <a
diff --git a/client/src/pages/RecruiterDashboard.tsx b/client/src/pages/RecruiterDashboard.tsx
index 9885c73..389c90f 100644
--- a/client/src/pages/RecruiterDashboard.tsx
+++ b/client/src/pages/RecruiterDashboard.tsx
@@ -13,15 +13,21 @@ export default function RecruiterDashboard() {
 
         <div className="grid grid-cols-1 md:grid-cols-3 gap-6 mb-8">
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Posted Jobs</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Posted Jobs
+            </h3>
             <p className="text-3xl font-bold">{postedJobs?.length || 0}</p>
           </Card>
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Total Applications</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Total Applications
+            </h3>
             <p className="text-3xl font-bold">24</p>
           </Card>
           <Card className="p-6">
-            <h3 className="text-gray-600 text-sm font-semibold mb-2">Shortlisted</h3>
+            <h3 className="text-gray-600 text-sm font-semibold mb-2">
+              Shortlisted
+            </h3>
             <p className="text-3xl font-bold">8</p>
           </Card>
         </div>
@@ -36,7 +42,9 @@ export default function RecruiterDashboard() {
             {postedJobs?.map((job: any) => (
               <div key={job.id} className="p-4 border rounded-lg">
                 <h3 className="font-semibold">{job.title}</h3>
-                <p className="text-sm text-gray-600">{job.applicantCount} applications</p>
+                <p className="text-sm text-gray-600">
+                  {job.applicantCount} applications
+                </p>
               </div>
             ))}
           </div>
diff --git a/client/src/pages/SavedSearches.tsx b/client/src/pages/SavedSearches.tsx
index 43d8240..c59863d 100644
--- a/client/src/pages/SavedSearches.tsx
+++ b/client/src/pages/SavedSearches.tsx
@@ -16,7 +16,9 @@ export default function SavedSearches() {
               <div className="flex justify-between items-start">
                 <div>
                   <h3 className="text-lg font-semibold">{search.name}</h3>
-                  <p className="text-gray-600">Alert: {search.alertFrequency}</p>
+                  <p className="text-gray-600">
+                    Alert: {search.alertFrequency}
+                  </p>
                 </div>
                 <Button variant="outline">View Results</Button>
               </div>
diff --git a/client/src/pages/SkillDevelopment.tsx b/client/src/pages/SkillDevelopment.tsx
index 94410ed..af8e75e 100644
--- a/client/src/pages/SkillDevelopment.tsx
+++ b/client/src/pages/SkillDevelopment.tsx
@@ -18,9 +18,14 @@ export default function SkillDevelopment() {
               <div key={p.id} className="p-4 border rounded-lg">
                 <p className="font-semibold">Course {p.courseId}</p>
                 <div className="w-full bg-gray-200 rounded-full h-2 mt-2">
-                  <div className="bg-blue-600 h-2 rounded-full" style={{ width: `${p.progress}%` }}></div>
+                  <div
+                    className="bg-blue-600 h-2 rounded-full"
+                    style={{ width: `${p.progress}%` }}
+                  ></div>
                 </div>
-                <p className="text-sm text-gray-600 mt-2">{p.progress}% complete</p>
+                <p className="text-sm text-gray-600 mt-2">
+                  {p.progress}% complete
+                </p>
               </div>
             ))}
           </div>
diff --git a/drizzle/meta/0000_snapshot.json b/drizzle/meta/0000_snapshot.json
index 90562ba..13c572d 100644
--- a/drizzle/meta/0000_snapshot.json
+++ b/drizzle/meta/0000_snapshot.json
@@ -81,17 +81,13 @@
       "compositePrimaryKeys": {
         "users_id": {
           "name": "users_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {
         "users_openId_unique": {
           "name": "users_openId_unique",
-          "columns": [
-            "openId"
-          ]
+          "columns": ["openId"]
         }
       },
       "checkConstraint": {}
@@ -107,4 +103,4 @@
     "tables": {},
     "indexes": {}
   }
-}
\ No newline at end of file
+}
diff --git a/drizzle/meta/0001_snapshot.json b/drizzle/meta/0001_snapshot.json
index 4a67582..70936c7 100644
--- a/drizzle/meta/0001_snapshot.json
+++ b/drizzle/meta/0001_snapshot.json
@@ -109,23 +109,17 @@
       "indexes": {
         "application_userId_idx": {
           "name": "application_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "application_jobId_idx": {
           "name": "application_jobId_idx",
-          "columns": [
-            "jobId"
-          ],
+          "columns": ["jobId"],
           "isUnique": false
         },
         "application_status_idx": {
           "name": "application_status_idx",
-          "columns": [
-            "status"
-          ],
+          "columns": ["status"],
           "isUnique": false
         }
       },
@@ -133,9 +127,7 @@
       "compositePrimaryKeys": {
         "applications_id": {
           "name": "applications_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -215,16 +207,12 @@
       "indexes": {
         "connection_userId1_idx": {
           "name": "connection_userId1_idx",
-          "columns": [
-            "userId1"
-          ],
+          "columns": ["userId1"],
           "isUnique": false
         },
         "connection_userId2_idx": {
           "name": "connection_userId2_idx",
-          "columns": [
-            "userId2"
-          ],
+          "columns": ["userId2"],
           "isUnique": false
         }
       },
@@ -232,9 +220,7 @@
       "compositePrimaryKeys": {
         "connections_id": {
           "name": "connections_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -331,9 +317,7 @@
       "compositePrimaryKeys": {
         "courses_id": {
           "name": "courses_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -413,16 +397,12 @@
       "indexes": {
         "externalProfile_userId_idx": {
           "name": "externalProfile_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "externalProfile_platform_idx": {
           "name": "externalProfile_platform_idx",
-          "columns": [
-            "platform"
-          ],
+          "columns": ["platform"],
           "isUnique": false
         }
       },
@@ -430,9 +410,7 @@
       "compositePrimaryKeys": {
         "externalProfiles_id": {
           "name": "externalProfiles_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -518,23 +496,17 @@
       "indexes": {
         "jobMatch_userId_idx": {
           "name": "jobMatch_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "jobMatch_jobId_idx": {
           "name": "jobMatch_jobId_idx",
-          "columns": [
-            "jobId"
-          ],
+          "columns": ["jobId"],
           "isUnique": false
         },
         "jobMatch_matchScore_idx": {
           "name": "jobMatch_matchScore_idx",
-          "columns": [
-            "matchScore"
-          ],
+          "columns": ["matchScore"],
           "isUnique": false
         }
       },
@@ -542,9 +514,7 @@
       "compositePrimaryKeys": {
         "jobMatches_id": {
           "name": "jobMatches_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -652,9 +622,7 @@
       "indexes": {
         "jobSeeker_userId_idx": {
           "name": "jobSeeker_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         }
       },
@@ -662,17 +630,13 @@
       "compositePrimaryKeys": {
         "jobSeekerProfiles_id": {
           "name": "jobSeekerProfiles_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {
         "jobSeeker_userId_unique": {
           "name": "jobSeeker_userId_unique",
-          "columns": [
-            "userId"
-          ]
+          "columns": ["userId"]
         }
       },
       "checkConstraint": {}
@@ -815,16 +779,12 @@
       "indexes": {
         "job_company_idx": {
           "name": "job_company_idx",
-          "columns": [
-            "company"
-          ],
+          "columns": ["company"],
           "isUnique": false
         },
         "job_isActive_idx": {
           "name": "job_isActive_idx",
-          "columns": [
-            "isActive"
-          ],
+          "columns": ["isActive"],
           "isUnique": false
         }
       },
@@ -832,18 +792,13 @@
       "compositePrimaryKeys": {
         "jobs_id": {
           "name": "jobs_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {
         "job_sourceJobId_idx": {
           "name": "job_sourceJobId_idx",
-          "columns": [
-            "sourceJobId",
-            "source"
-          ]
+          "columns": ["sourceJobId", "source"]
         }
       },
       "checkConstraint": {}
@@ -906,16 +861,12 @@
       "indexes": {
         "message_senderId_idx": {
           "name": "message_senderId_idx",
-          "columns": [
-            "senderId"
-          ],
+          "columns": ["senderId"],
           "isUnique": false
         },
         "message_recipientId_idx": {
           "name": "message_recipientId_idx",
-          "columns": [
-            "recipientId"
-          ],
+          "columns": ["recipientId"],
           "isUnique": false
         }
       },
@@ -923,9 +874,7 @@
       "compositePrimaryKeys": {
         "messages_id": {
           "name": "messages_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1041,16 +990,12 @@
       "indexes": {
         "mockInterview_userId_idx": {
           "name": "mockInterview_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "mockInterview_status_idx": {
           "name": "mockInterview_status_idx",
-          "columns": [
-            "status"
-          ],
+          "columns": ["status"],
           "isUnique": false
         }
       },
@@ -1058,9 +1003,7 @@
       "compositePrimaryKeys": {
         "mockInterviews_id": {
           "name": "mockInterviews_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1176,16 +1119,12 @@
       "indexes": {
         "postedJob_recruiterId_idx": {
           "name": "postedJob_recruiterId_idx",
-          "columns": [
-            "recruiterId"
-          ],
+          "columns": ["recruiterId"],
           "isUnique": false
         },
         "postedJob_status_idx": {
           "name": "postedJob_status_idx",
-          "columns": [
-            "status"
-          ],
+          "columns": ["status"],
           "isUnique": false
         }
       },
@@ -1193,9 +1132,7 @@
       "compositePrimaryKeys": {
         "postedJobs_id": {
           "name": "postedJobs_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1296,9 +1233,7 @@
       "indexes": {
         "recruiter_userId_idx": {
           "name": "recruiter_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         }
       },
@@ -1306,17 +1241,13 @@
       "compositePrimaryKeys": {
         "recruiterProfiles_id": {
           "name": "recruiterProfiles_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {
         "recruiter_userId_unique": {
           "name": "recruiter_userId_unique",
-          "columns": [
-            "userId"
-          ]
+          "columns": ["userId"]
         }
       },
       "checkConstraint": {}
@@ -1389,9 +1320,7 @@
       "indexes": {
         "resume_userId_idx": {
           "name": "resume_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         }
       },
@@ -1399,9 +1328,7 @@
       "compositePrimaryKeys": {
         "resumes_id": {
           "name": "resumes_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1475,9 +1402,7 @@
       "indexes": {
         "savedSearch_userId_idx": {
           "name": "savedSearch_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         }
       },
@@ -1485,9 +1410,7 @@
       "compositePrimaryKeys": {
         "savedSearches_id": {
           "name": "savedSearches_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1560,9 +1483,7 @@
       "indexes": {
         "skill_userId_idx": {
           "name": "skill_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         }
       },
@@ -1570,9 +1491,7 @@
       "compositePrimaryKeys": {
         "skills_id": {
           "name": "skills_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1635,16 +1554,12 @@
       "indexes": {
         "tailoredResume_userId_idx": {
           "name": "tailoredResume_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "tailoredResume_jobId_idx": {
           "name": "tailoredResume_jobId_idx",
-          "columns": [
-            "jobId"
-          ],
+          "columns": ["jobId"],
           "isUnique": false
         }
       },
@@ -1652,9 +1567,7 @@
       "compositePrimaryKeys": {
         "tailoredResumes_id": {
           "name": "tailoredResumes_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1735,16 +1648,12 @@
       "indexes": {
         "userCourseProgress_userId_idx": {
           "name": "userCourseProgress_userId_idx",
-          "columns": [
-            "userId"
-          ],
+          "columns": ["userId"],
           "isUnique": false
         },
         "userCourseProgress_courseId_idx": {
           "name": "userCourseProgress_courseId_idx",
-          "columns": [
-            "courseId"
-          ],
+          "columns": ["courseId"],
           "isUnique": false
         }
       },
@@ -1752,9 +1661,7 @@
       "compositePrimaryKeys": {
         "userCourseProgress_id": {
           "name": "userCourseProgress_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {},
@@ -1871,16 +1778,12 @@
       "indexes": {
         "email_idx": {
           "name": "email_idx",
-          "columns": [
-            "email"
-          ],
+          "columns": ["email"],
           "isUnique": false
         },
         "userType_idx": {
           "name": "userType_idx",
-          "columns": [
-            "userType"
-          ],
+          "columns": ["userType"],
           "isUnique": false
         }
       },
@@ -1888,23 +1791,17 @@
       "compositePrimaryKeys": {
         "users_id": {
           "name": "users_id",
-          "columns": [
-            "id"
-          ]
+          "columns": ["id"]
         }
       },
       "uniqueConstraints": {
         "users_openId_unique": {
           "name": "users_openId_unique",
-          "columns": [
-            "openId"
-          ]
+          "columns": ["openId"]
         },
         "users_email_unique": {
           "name": "users_email_unique",
-          "columns": [
-            "email"
-          ]
+          "columns": ["email"]
         }
       },
       "checkConstraint": {}
@@ -1920,4 +1817,4 @@
     "tables": {},
     "indexes": {}
   }
-}
\ No newline at end of file
+}
diff --git a/drizzle/meta/_journal.json b/drizzle/meta/_journal.json
index 001a7c4..7addcc4 100644
--- a/drizzle/meta/_journal.json
+++ b/drizzle/meta/_journal.json
@@ -17,4 +17,4 @@
       "breakpoints": true
     }
   ]
-}
\ No newline at end of file
+}
diff --git a/drizzle/schema.ts b/drizzle/schema.ts
index e3a3282..e9aca9c 100644
--- a/drizzle/schema.ts
+++ b/drizzle/schema.ts
@@ -37,7 +37,7 @@ export const users = mysqlTable(
     lastSignedIn: timestamp("lastSignedIn").defaultNow().notNull(),
     passwordHash: varchar("passwordHash", { length: 255 }),
   },
-  (table) => ({
+  table => ({
     emailIdx: index("email_idx").on(table.email),
     userTypeIdx: index("userType_idx").on(table.userType),
   })
@@ -59,14 +59,17 @@ export const jobSeekerProfiles = mysqlTable(
     yearsExperience: int("yearsExperience"),
     desiredRoles: json("desiredRoles"), // Array of role titles
     desiredLocations: json("desiredLocations"), // Array of locations
-    salaryExpectation: decimal("salaryExpectation", { precision: 10, scale: 2 }),
+    salaryExpectation: decimal("salaryExpectation", {
+      precision: 10,
+      scale: 2,
+    }),
     workPreference: mysqlEnum("workPreference", ["remote", "hybrid", "onsite"]),
     availability: varchar("availability", { length: 50 }), // e.g., "2 weeks notice"
     openToOpportunities: boolean("openToOpportunities").default(true),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("jobSeeker_userId_idx").on(table.userId),
     userIdUnique: unique("jobSeeker_userId_unique").on(table.userId),
   })
@@ -90,13 +93,15 @@ export const recruiterProfiles = mysqlTable(
     jobTitle: varchar("jobTitle", { length: 255 }),
     department: varchar("department", { length: 255 }),
     companyLogoUrl: text("companyLogoUrl"),
-    verificationStatus: mysqlEnum("verificationStatus", ["pending", "verified", "rejected"]).default(
-      "pending"
-    ),
+    verificationStatus: mysqlEnum("verificationStatus", [
+      "pending",
+      "verified",
+      "rejected",
+    ]).default("pending"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("recruiter_userId_idx").on(table.userId),
     userIdUnique: unique("recruiter_userId_unique").on(table.userId),
   })
@@ -120,7 +125,7 @@ export const resumes = mysqlTable(
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("resume_userId_idx").on(table.userId),
   })
 );
@@ -142,7 +147,7 @@ export const tailoredResumes = mysqlTable(
     matchScore: decimal("matchScore", { precision: 5, scale: 2 }),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("tailoredResume_userId_idx").on(table.userId),
     jobIdIdx: index("tailoredResume_jobId_idx").on(table.jobId),
   })
@@ -160,13 +165,18 @@ export const skills = mysqlTable(
     id: int("id").autoincrement().primaryKey(),
     userId: int("userId").notNull(),
     skillName: varchar("skillName", { length: 255 }).notNull(),
-    proficiencyLevel: mysqlEnum("proficiencyLevel", ["beginner", "intermediate", "advanced", "expert"]),
+    proficiencyLevel: mysqlEnum("proficiencyLevel", [
+      "beginner",
+      "intermediate",
+      "advanced",
+      "expert",
+    ]),
     yearsOfExperience: int("yearsOfExperience"),
     endorsements: int("endorsements").default(0),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("skill_userId_idx").on(table.userId),
   })
 );
@@ -182,7 +192,12 @@ export const externalProfiles = mysqlTable(
   {
     id: int("id").autoincrement().primaryKey(),
     userId: int("userId").notNull(),
-    platform: mysqlEnum("platform", ["github", "linkedin", "portfolio", "personal_website"]).notNull(),
+    platform: mysqlEnum("platform", [
+      "github",
+      "linkedin",
+      "portfolio",
+      "personal_website",
+    ]).notNull(),
     profileUrl: varchar("profileUrl", { length: 500 }).notNull(),
     username: varchar("username", { length: 255 }),
     verified: boolean("verified").default(false),
@@ -190,7 +205,7 @@ export const externalProfiles = mysqlTable(
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("externalProfile_userId_idx").on(table.userId),
     platformIdx: index("externalProfile_platform_idx").on(table.platform),
   })
@@ -212,8 +227,18 @@ export const jobs = mysqlTable(
     description: longtext("description").notNull(),
     requirements: longtext("requirements"),
     salary: varchar("salary", { length: 100 }),
-    jobType: mysqlEnum("jobType", ["full_time", "part_time", "contract", "freelance"]),
-    source: mysqlEnum("source", ["linkedin", "indeed", "upwork", "other"]).notNull(),
+    jobType: mysqlEnum("jobType", [
+      "full_time",
+      "part_time",
+      "contract",
+      "freelance",
+    ]),
+    source: mysqlEnum("source", [
+      "linkedin",
+      "indeed",
+      "upwork",
+      "other",
+    ]).notNull(),
     sourceJobId: varchar("sourceJobId", { length: 255 }).notNull(),
     sourceUrl: varchar("sourceUrl", { length: 500 }),
     postedDate: datetime("postedDate"),
@@ -224,8 +249,11 @@ export const jobs = mysqlTable(
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
-    sourceJobIdIdx: unique("job_sourceJobId_idx").on(table.sourceJobId, table.source),
+  table => ({
+    sourceJobIdIdx: unique("job_sourceJobId_idx").on(
+      table.sourceJobId,
+      table.source
+    ),
     companyIdx: index("job_company_idx").on(table.company),
     isActiveIdx: index("job_isActive_idx").on(table.isActive),
   })
@@ -257,14 +285,17 @@ export const applications = mysqlTable(
       "withdrawn",
     ]).default("submitted"),
     appliedDate: timestamp("appliedDate").defaultNow().notNull(),
-    lastStatusUpdate: timestamp("lastStatusUpdate").defaultNow().onUpdateNow().notNull(),
+    lastStatusUpdate: timestamp("lastStatusUpdate")
+      .defaultNow()
+      .onUpdateNow()
+      .notNull(),
     notes: text("notes"),
     interviewDate: datetime("interviewDate"),
     interviewType: varchar("interviewType", { length: 100 }),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("application_userId_idx").on(table.userId),
     jobIdIdx: index("application_jobId_idx").on(table.jobId),
     statusIdx: index("application_status_idx").on(table.status),
@@ -285,11 +316,15 @@ export const savedSearches = mysqlTable(
     name: varchar("name", { length: 255 }).notNull(),
     filters: json("filters").notNull(), // Search criteria as JSON
     alertEnabled: boolean("alertEnabled").default(true),
-    alertFrequency: mysqlEnum("alertFrequency", ["daily", "weekly", "immediate"]).default("daily"),
+    alertFrequency: mysqlEnum("alertFrequency", [
+      "daily",
+      "weekly",
+      "immediate",
+    ]).default("daily"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("savedSearch_userId_idx").on(table.userId),
   })
 );
@@ -314,7 +349,7 @@ export const jobMatches = mysqlTable(
     dismissed: boolean("dismissed").default(false),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("jobMatch_userId_idx").on(table.userId),
     jobIdIdx: index("jobMatch_jobId_idx").on(table.jobId),
     matchScoreIdx: index("jobMatch_matchScore_idx").on(table.matchScore),
@@ -333,9 +368,21 @@ export const mockInterviews = mysqlTable(
     id: int("id").autoincrement().primaryKey(),
     userId: int("userId").notNull(),
     jobId: int("jobId"),
-    interviewType: mysqlEnum("interviewType", ["behavioral", "technical", "case_study", "general"]).notNull(),
-    difficulty: mysqlEnum("difficulty", ["easy", "medium", "hard"]).default("medium"),
-    status: mysqlEnum("status", ["scheduled", "in_progress", "completed", "cancelled"]).default("scheduled"),
+    interviewType: mysqlEnum("interviewType", [
+      "behavioral",
+      "technical",
+      "case_study",
+      "general",
+    ]).notNull(),
+    difficulty: mysqlEnum("difficulty", ["easy", "medium", "hard"]).default(
+      "medium"
+    ),
+    status: mysqlEnum("status", [
+      "scheduled",
+      "in_progress",
+      "completed",
+      "cancelled",
+    ]).default("scheduled"),
     startedAt: datetime("startedAt"),
     completedAt: datetime("completedAt"),
     duration: int("duration"), // in seconds
@@ -345,7 +392,7 @@ export const mockInterviews = mysqlTable(
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("mockInterview_userId_idx").on(table.userId),
     statusIdx: index("mockInterview_status_idx").on(table.status),
   })
@@ -363,14 +410,16 @@ export const connections = mysqlTable(
     id: int("id").autoincrement().primaryKey(),
     userId1: int("userId1").notNull(),
     userId2: int("userId2").notNull(),
-    status: mysqlEnum("status", ["pending", "accepted", "blocked"]).default("pending"),
+    status: mysqlEnum("status", ["pending", "accepted", "blocked"]).default(
+      "pending"
+    ),
     initiatedBy: int("initiatedBy").notNull(),
     message: text("message"),
     connectedAt: datetime("connectedAt"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     user1Idx: index("connection_userId1_idx").on(table.userId1),
     user2Idx: index("connection_userId2_idx").on(table.userId2),
   })
@@ -393,7 +442,7 @@ export const messages = mysqlTable(
     readAt: datetime("readAt"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
   },
-  (table) => ({
+  table => ({
     senderIdx: index("message_senderId_idx").on(table.senderId),
     recipientIdx: index("message_recipientId_idx").on(table.recipientId),
   })
@@ -405,22 +454,21 @@ export type InsertMessage = typeof messages.$inferInsert;
 /**
  * Courses - Career development and skill training programs
  */
-export const courses = mysqlTable(
-  "courses",
-  {
-    id: int("id").autoincrement().primaryKey(),
-    title: varchar("title", { length: 255 }).notNull(),
-    description: longtext("description"),
-    category: varchar("category", { length: 100 }),
-    level: mysqlEnum("level", ["beginner", "intermediate", "advanced"]).default("beginner"),
-    duration: int("duration"), // in hours
-    instructor: varchar("instructor", { length: 255 }),
-    imageUrl: text("imageUrl"),
-    isActive: boolean("isActive").default(true),
-    createdAt: timestamp("createdAt").defaultNow().notNull(),
-    updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
-  }
-);
+export const courses = mysqlTable("courses", {
+  id: int("id").autoincrement().primaryKey(),
+  title: varchar("title", { length: 255 }).notNull(),
+  description: longtext("description"),
+  category: varchar("category", { length: 100 }),
+  level: mysqlEnum("level", ["beginner", "intermediate", "advanced"]).default(
+    "beginner"
+  ),
+  duration: int("duration"), // in hours
+  instructor: varchar("instructor", { length: 255 }),
+  imageUrl: text("imageUrl"),
+  isActive: boolean("isActive").default(true),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+  updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
+});
 
 export type Course = typeof courses.$inferSelect;
 export type InsertCourse = typeof courses.$inferInsert;
@@ -434,14 +482,18 @@ export const userCourseProgress = mysqlTable(
     id: int("id").autoincrement().primaryKey(),
     userId: int("userId").notNull(),
     courseId: int("courseId").notNull(),
-    status: mysqlEnum("status", ["enrolled", "in_progress", "completed"]).default("enrolled"),
+    status: mysqlEnum("status", [
+      "enrolled",
+      "in_progress",
+      "completed",
+    ]).default("enrolled"),
     progress: int("progress").default(0), // percentage 0-100
     completedAt: datetime("completedAt"),
     certificateUrl: text("certificateUrl"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     userIdIdx: index("userCourseProgress_userId_idx").on(table.userId),
     courseIdIdx: index("userCourseProgress_courseId_idx").on(table.courseId),
   })
@@ -464,14 +516,19 @@ export const postedJobs = mysqlTable(
     salary: varchar("salary", { length: 100 }),
     jobType: mysqlEnum("jobType", ["full_time", "part_time", "contract"]),
     location: varchar("location", { length: 255 }),
-    status: mysqlEnum("status", ["draft", "published", "closed", "filled"]).default("draft"),
+    status: mysqlEnum("status", [
+      "draft",
+      "published",
+      "closed",
+      "filled",
+    ]).default("draft"),
     applicantCount: int("applicantCount").default(0),
     publishedAt: datetime("publishedAt"),
     closedAt: datetime("closedAt"),
     createdAt: timestamp("createdAt").defaultNow().notNull(),
     updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   },
-  (table) => ({
+  table => ({
     recruiterIdIdx: index("postedJob_recruiterId_idx").on(table.recruiterId),
     statusIdx: index("postedJob_status_idx").on(table.status),
   })
diff --git a/package.json b/package.json
index 4de1915..3727c89 100644
--- a/package.json
+++ b/package.json
@@ -47,6 +47,7 @@
     "@trpc/react-query": "^11.6.0",
     "@trpc/server": "^11.6.0",
     "@types/bcryptjs": "^3.0.0",
+    "@vercel/speed-insights": "^2.0.0",
     "axios": "^1.12.0",
     "bcryptjs": "^3.0.3",
     "class-variance-authority": "^0.7.1",
@@ -119,4 +120,4 @@
       "esbuild"
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 54c8186..0545c28 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -118,6 +118,9 @@ importers:
       '@types/bcryptjs':
         specifier: ^3.0.0
         version: 3.0.0
+      '@vercel/speed-insights':
+        specifier: ^2.0.0
+        version: 2.0.0(react@19.2.4)
       axios:
         specifier: ^1.12.0
         version: 1.14.0
@@ -2546,6 +2549,32 @@ packages:
   '@upsetjs/venn.js@2.0.0':
     resolution: {integrity: sha512-WbBhLrooyePuQ1VZxrJjtLvTc4NVfpOyKx0sKqioq9bX1C1m7Jgykkn8gLrtwumBioXIqam8DLxp88Adbue6Hw==}
 
+  '@vercel/speed-insights@2.0.0':
+    resolution: {integrity: sha512-jwkNcrTeafWxjmWq4AHBaptSqZiJkYU5adLC9QBSqeim0GcqDMgN5Ievh8OG1rJ6W3A4l1oiP7qr9CWxGuzu3w==}
+    peerDependencies:
+      '@sveltejs/kit': ^1 || ^2
+      next: '>= 13'
+      nuxt: '>= 3'
+      react: ^18 || ^19 || ^19.0.0-rc
+      svelte: '>= 4'
+      vue: ^3
+      vue-router: ^4
+    peerDependenciesMeta:
+      '@sveltejs/kit':
+        optional: true
+      next:
+        optional: true
+      nuxt:
+        optional: true
+      react:
+        optional: true
+      svelte:
+        optional: true
+      vue:
+        optional: true
+      vue-router:
+        optional: true
+
   '@vitejs/plugin-react@5.2.0':
     resolution: {integrity: sha512-YmKkfhOAi3wsB1PhJq5Scj3GXMn3WvtQ/JC0xoopuHoXSdmtdStOpFrYaT1kie2YgFBcIe64ROzMYRjCrYOdYw==}
     engines: {node: ^20.19.0 || >=22.12.0}
@@ -6998,6 +7027,10 @@ snapshots:
       d3-selection: 3.0.0
       d3-transition: 3.0.1(d3-selection@3.0.0)
 
+  '@vercel/speed-insights@2.0.0(react@19.2.4)':
+    optionalDependencies:
+      react: 19.2.4
+
   '@vitejs/plugin-react@5.2.0(vite@7.3.1(@types/node@24.12.0)(jiti@2.6.1)(lightningcss@1.32.0)(tsx@4.21.0))':
     dependencies:
       '@babel/core': 7.29.0
diff --git a/security_test.ts b/security_test.ts
index ccaa6e4..7439bea 100644
--- a/security_test.ts
+++ b/security_test.ts
@@ -14,22 +14,29 @@ async function runSecurityAudit() {
   }
 
   if (!ENV.databaseUrl) {
-    findings.push("WARNING: DATABASE_URL is missing. App will run in degraded mode.");
+    findings.push(
+      "WARNING: DATABASE_URL is missing. App will run in degraded mode."
+    );
   } else {
     console.log("✅ DATABASE_URL is configured.");
   }
 
   if (!ENV.forgeApiKey) {
-    findings.push("WARNING: BUILT_IN_FORGE_API_KEY is missing. AI features will fail.");
+    findings.push(
+      "WARNING: BUILT_IN_FORGE_API_KEY is missing. AI features will fail."
+    );
   } else {
     console.log("✅ AI API Key is configured.");
   }
 
   // 2. Check Cookie Security
   console.log("\n[2] Checking Cookie Security...");
-  const mockReq = { protocol: "https", get: (name: string) => name === "x-forwarded-proto" ? "https" : "" } as any;
+  const mockReq = {
+    protocol: "https",
+    get: (name: string) => (name === "x-forwarded-proto" ? "https" : ""),
+  } as any;
   const cookieOptions = getSessionCookieOptions(mockReq);
-  
+
   if (!cookieOptions.httpOnly) {
     findings.push("HIGH: Session cookies are not HttpOnly.");
   } else {
@@ -45,7 +52,9 @@ async function runSecurityAudit() {
   // 3. Check for exposed frontend keys (Simulation)
   console.log("\n[3] Scanning for frontend-exposed secrets...");
   // This is a placeholder for a more complex regex scan if needed
-  console.log("✅ No hardcoded secrets found in frontend source (based on previous grep).");
+  console.log(
+    "✅ No hardcoded secrets found in frontend source (based on previous grep)."
+  );
 
   // 4. Summary
   console.log("\n=== Audit Summary ===");
diff --git a/server/_core/dataApi.ts b/server/_core/dataApi.ts
index 7ef81b5..a5d6343 100644
--- a/server/_core/dataApi.ts
+++ b/server/_core/dataApi.ts
@@ -25,8 +25,13 @@ export async function callDataApi(
   }
 
   // Build the full URL by appending the service path to the base URL
-  const baseUrl = ENV.forgeApiUrl.endsWith("/") ? ENV.forgeApiUrl : `${ENV.forgeApiUrl}/`;
-  const fullUrl = new URL("webdevtoken.v1.WebDevService/CallApi", baseUrl).toString();
+  const baseUrl = ENV.forgeApiUrl.endsWith("/")
+    ? ENV.forgeApiUrl
+    : `${ENV.forgeApiUrl}/`;
+  const fullUrl = new URL(
+    "webdevtoken.v1.WebDevService/CallApi",
+    baseUrl
+  ).toString();
 
   const response = await fetch(fullUrl, {
     method: "POST",
diff --git a/server/_core/emailAuth.ts b/server/_core/emailAuth.ts
index 216d112..b4a72b5 100644
--- a/server/_core/emailAuth.ts
+++ b/server/_core/emailAuth.ts
@@ -14,7 +14,10 @@ import { ENV } from "./env";
  * Manus OAuth openIds (which are UUIDs from the platform).
  */
 function generateLocalOpenId(email: string): string {
-  const sanitized = email.replace(/[^a-z0-9]/gi, "").toLowerCase().slice(0, 20);
+  const sanitized = email
+    .replace(/[^a-z0-9]/gi, "")
+    .toLowerCase()
+    .slice(0, 20);
   const rand = Math.random().toString(36).slice(2, 10);
   return `local_${sanitized}_${rand}`;
 }
@@ -58,7 +61,9 @@ export function registerEmailAuthRoutes(app: Express) {
         .limit(1);
 
       if (existing.length > 0) {
-        res.status(409).json({ error: "An account with this email already exists. Please sign in." });
+        res.status(409).json({
+          error: "An account with this email already exists. Please sign in.",
+        });
         return;
       }
 
@@ -81,7 +86,10 @@ export function registerEmailAuthRoutes(app: Express) {
       });
 
       const cookieOptions = getSessionCookieOptions(req);
-      res.cookie(COOKIE_NAME, sessionToken, { ...cookieOptions, maxAge: ONE_YEAR_MS });
+      res.cookie(COOKIE_NAME, sessionToken, {
+        ...cookieOptions,
+        maxAge: ONE_YEAR_MS,
+      });
 
       res.json({ success: true, message: "Account created successfully" });
     } catch (error) {
@@ -130,7 +138,8 @@ export function registerEmailAuthRoutes(app: Express) {
       if (!user.passwordHash) {
         // Account exists but was created via OAuth — no password set
         res.status(401).json({
-          error: "This account uses a different sign-in method. Please use the original provider.",
+          error:
+            "This account uses a different sign-in method. Please use the original provider.",
         });
         return;
       }
@@ -153,7 +162,10 @@ export function registerEmailAuthRoutes(app: Express) {
       });
 
       const cookieOptions = getSessionCookieOptions(req);
-      res.cookie(COOKIE_NAME, sessionToken, { ...cookieOptions, maxAge: ONE_YEAR_MS });
+      res.cookie(COOKIE_NAME, sessionToken, {
+        ...cookieOptions,
+        maxAge: ONE_YEAR_MS,
+      });
 
       res.json({ success: true, message: "Signed in successfully" });
     } catch (error) {
diff --git a/server/_core/llm.ts b/server/_core/llm.ts
index f008706..d504dbe 100644
--- a/server/_core/llm.ts
+++ b/server/_core/llm.ts
@@ -19,7 +19,12 @@ export type FileContent = {
   type: "file_url";
   file_url: {
     url: string;
-    mime_type?: "audio/mpeg" | "audio/wav" | "application/pdf" | "audio/mp4" | "video/mp4" ;
+    mime_type?:
+      | "audio/mpeg"
+      | "audio/wav"
+      | "application/pdf"
+      | "audio/mp4"
+      | "video/mp4";
   };
 };
 
@@ -296,10 +301,10 @@ export async function invokeLLM(params: InvokeParams): Promise<InvokeResult> {
     payload.tool_choice = normalizedToolChoice;
   }
 
-  payload.max_tokens = 32768
+  payload.max_tokens = 32768;
   payload.thinking = {
-    "budget_tokens": 128
-  }
+    budget_tokens: 128,
+  };
 
   const normalizedResponseFormat = normalizeResponseFormat({
     responseFormat,
diff --git a/server/_core/map.ts b/server/_core/map.ts
index ac2c28c..b571665 100644
--- a/server/_core/map.ts
+++ b/server/_core/map.ts
@@ -1,9 +1,9 @@
 /**
  * Google Maps API Integration for Manus WebDev Templates
- * 
+ *
  * Main function: makeRequest<T>(endpoint, params) - Makes authenticated requests to Google Maps APIs
  * All credentials are automatically injected. Array parameters use | as separator.
- * 
+ *
  * See API examples below the type definitions for usage patterns.
  */
 
@@ -45,7 +45,7 @@ interface RequestOptions {
 
 /**
  * Make authenticated requests to Google Maps APIs
- * 
+ *
  * @param endpoint - The API endpoint (e.g., "/maps/api/geocode/json")
  * @param params - Query parameters for the request
  * @param options - Additional request options
@@ -313,7 +313,3 @@ export type RoadsResult = {
  * Output: Image URL (not JSON) - use directly in <img src={url} />
  * Note: Construct URL manually with getMapsConfig() for auth
  */
-
-
-
-
diff --git a/server/_core/notification.ts b/server/_core/notification.ts
index 889a573..61147ad 100644
--- a/server/_core/notification.ts
+++ b/server/_core/notification.ts
@@ -14,9 +14,7 @@ const isNonEmptyString = (value: unknown): value is string =>
   typeof value === "string" && value.trim().length > 0;
 
 const buildEndpointUrl = (baseUrl: string): string => {
-  const normalizedBase = baseUrl.endsWith("/")
-    ? baseUrl
-    : `${baseUrl}/`;
+  const normalizedBase = baseUrl.endsWith("/") ? baseUrl : `${baseUrl}/`;
   return new URL(
     "webdevtoken.v1.WebDevService/SendNotification",
     normalizedBase
diff --git a/server/_core/oauth.ts b/server/_core/oauth.ts
index c74a0dc..3faa5f1 100644
--- a/server/_core/oauth.ts
+++ b/server/_core/oauth.ts
@@ -43,7 +43,10 @@ export function registerOAuthRoutes(app: Express) {
       });
 
       const cookieOptions = getSessionCookieOptions(req);
-      res.cookie(COOKIE_NAME, sessionToken, { ...cookieOptions, maxAge: ONE_YEAR_MS });
+      res.cookie(COOKIE_NAME, sessionToken, {
+        ...cookieOptions,
+        maxAge: ONE_YEAR_MS,
+      });
 
       res.redirect(302, "/");
     } catch (error) {
diff --git a/server/_core/oauthExchange.ts b/server/_core/oauthExchange.ts
index 351e640..93572b4 100644
--- a/server/_core/oauthExchange.ts
+++ b/server/_core/oauthExchange.ts
@@ -78,7 +78,9 @@ async function exchangeOAuthCode(
   });
 
   if (!tokenResponse.ok) {
-    throw new Error(`Failed to exchange OAuth code: ${tokenResponse.statusText}`);
+    throw new Error(
+      `Failed to exchange OAuth code: ${tokenResponse.statusText}`
+    );
   }
 
   const tokenData = await tokenResponse.json();
@@ -102,7 +104,9 @@ async function exchangeOAuthCode(
   });
 
   if (!userInfoResponse.ok) {
-    throw new Error(`Failed to fetch user info: ${userInfoResponse.statusText}`);
+    throw new Error(
+      `Failed to fetch user info: ${userInfoResponse.statusText}`
+    );
   }
 
   const userInfo = await userInfoResponse.json();
diff --git a/server/_core/trpc.ts b/server/_core/trpc.ts
index a0bcc05..e3d5bdf 100644
--- a/server/_core/trpc.ts
+++ b/server/_core/trpc.ts
@@ -1,4 +1,4 @@
-import { NOT_ADMIN_ERR_MSG, UNAUTHED_ERR_MSG } from '@shared/const';
+import { NOT_ADMIN_ERR_MSG, UNAUTHED_ERR_MSG } from "@shared/const";
 import { initTRPC, TRPCError } from "@trpc/server";
 import superjson from "superjson";
 import type { TrpcContext } from "./context";
@@ -31,7 +31,7 @@ export const adminProcedure = t.procedure.use(
   t.middleware(async opts => {
     const { ctx, next } = opts;
 
-    if (!ctx.user || ctx.user.role !== 'admin') {
+    if (!ctx.user || ctx.user.role !== "admin") {
       throw new TRPCError({ code: "FORBIDDEN", message: NOT_ADMIN_ERR_MSG });
     }
 
@@ -41,5 +41,5 @@ export const adminProcedure = t.procedure.use(
         user: ctx.user,
       },
     });
-  }),
+  })
 );
diff --git a/server/_core/voiceTranscription.ts b/server/_core/voiceTranscription.ts
index ed511f6..65ca75e 100644
--- a/server/_core/voiceTranscription.ts
+++ b/server/_core/voiceTranscription.ts
@@ -5,7 +5,7 @@
  * 1. Capture audio using MediaRecorder API
  * 2. Upload audio to storage (e.g., S3) to get URL
  * 3. Call transcription with the URL
- * 
+ *
  * Example usage:
  * ```tsx
  * // Frontend component
@@ -16,7 +16,7 @@
  *     console.log(data.segments); // Timestamped segments
  *   }
  * });
- * 
+ *
  * // After uploading audio to storage
  * transcribeMutation.mutate({
  *   audioUrl: uploadedAudioUrl,
@@ -60,13 +60,18 @@ export type TranscriptionResponse = WhisperResponse; // Return native Whisper AP
 
 export type TranscriptionError = {
   error: string;
-  code: "FILE_TOO_LARGE" | "INVALID_FORMAT" | "TRANSCRIPTION_FAILED" | "UPLOAD_FAILED" | "SERVICE_ERROR";
+  code:
+    | "FILE_TOO_LARGE"
+    | "INVALID_FORMAT"
+    | "TRANSCRIPTION_FAILED"
+    | "UPLOAD_FAILED"
+    | "SERVICE_ERROR";
   details?: string;
 };
 
 /**
  * Transcribe audio to text using the internal Speech-to-Text service
- * 
+ *
  * @param options - Audio data and metadata
  * @returns Transcription result or error
  */
@@ -79,14 +84,14 @@ export async function transcribeAudio(
       return {
         error: "Voice transcription service is not configured",
         code: "SERVICE_ERROR",
-        details: "BUILT_IN_FORGE_API_URL is not set"
+        details: "BUILT_IN_FORGE_API_URL is not set",
       };
     }
     if (!ENV.forgeApiKey) {
       return {
         error: "Voice transcription service authentication is missing",
         code: "SERVICE_ERROR",
-        details: "BUILT_IN_FORGE_API_KEY is not set"
+        details: "BUILT_IN_FORGE_API_KEY is not set",
       };
     }
 
@@ -99,58 +104,57 @@ export async function transcribeAudio(
         return {
           error: "Failed to download audio file",
           code: "INVALID_FORMAT",
-          details: `HTTP ${response.status}: ${response.statusText}`
+          details: `HTTP ${response.status}: ${response.statusText}`,
         };
       }
-      
+
       audioBuffer = Buffer.from(await response.arrayBuffer());
-      mimeType = response.headers.get('content-type') || 'audio/mpeg';
-      
+      mimeType = response.headers.get("content-type") || "audio/mpeg";
+
       // Check file size (16MB limit)
       const sizeMB = audioBuffer.length / (1024 * 1024);
       if (sizeMB > 16) {
         return {
           error: "Audio file exceeds maximum size limit",
           code: "FILE_TOO_LARGE",
-          details: `File size is ${sizeMB.toFixed(2)}MB, maximum allowed is 16MB`
+          details: `File size is ${sizeMB.toFixed(2)}MB, maximum allowed is 16MB`,
         };
       }
     } catch (error) {
       return {
         error: "Failed to fetch audio file",
         code: "SERVICE_ERROR",
-        details: error instanceof Error ? error.message : "Unknown error"
+        details: error instanceof Error ? error.message : "Unknown error",
       };
     }
 
     // Step 3: Create FormData for multipart upload to Whisper API
     const formData = new FormData();
-    
+
     // Create a Blob from the buffer and append to form
     const filename = `audio.${getFileExtension(mimeType)}`;
-    const audioBlob = new Blob([new Uint8Array(audioBuffer)], { type: mimeType });
+    const audioBlob = new Blob([new Uint8Array(audioBuffer)], {
+      type: mimeType,
+    });
     formData.append("file", audioBlob, filename);
-    
+
     formData.append("model", "whisper-1");
     formData.append("response_format", "verbose_json");
-    
+
     // Add prompt - use custom prompt if provided, otherwise generate based on language
-    const prompt = options.prompt || (
-      options.language 
+    const prompt =
+      options.prompt ||
+      (options.language
         ? `Transcribe the user's voice to text, the user's working language is ${getLanguageName(options.language)}`
-        : "Transcribe the user's voice to text"
-    );
+        : "Transcribe the user's voice to text");
     formData.append("prompt", prompt);
 
     // Step 4: Call the transcription service
     const baseUrl = ENV.forgeApiUrl.endsWith("/")
       ? ENV.forgeApiUrl
       : `${ENV.forgeApiUrl}/`;
-    
-    const fullUrl = new URL(
-      "v1/audio/transcriptions",
-      baseUrl
-    ).toString();
+
+    const fullUrl = new URL("v1/audio/transcriptions", baseUrl).toString();
 
     const response = await fetch(fullUrl, {
       method: "POST",
@@ -166,30 +170,30 @@ export async function transcribeAudio(
       return {
         error: "Transcription service request failed",
         code: "TRANSCRIPTION_FAILED",
-        details: `${response.status} ${response.statusText}${errorText ? `: ${errorText}` : ""}`
+        details: `${response.status} ${response.statusText}${errorText ? `: ${errorText}` : ""}`,
       };
     }
 
     // Step 5: Parse and return the transcription result
-    const whisperResponse = await response.json() as WhisperResponse;
-    
+    const whisperResponse = (await response.json()) as WhisperResponse;
+
     // Validate response structure
-    if (!whisperResponse.text || typeof whisperResponse.text !== 'string') {
+    if (!whisperResponse.text || typeof whisperResponse.text !== "string") {
       return {
         error: "Invalid transcription response",
         code: "SERVICE_ERROR",
-        details: "Transcription service returned an invalid response format"
+        details: "Transcription service returned an invalid response format",
       };
     }
 
     return whisperResponse; // Return native Whisper API response directly
-
   } catch (error) {
     // Handle unexpected errors
     return {
       error: "Voice transcription failed",
       code: "SERVICE_ERROR",
-      details: error instanceof Error ? error.message : "An unexpected error occurred"
+      details:
+        error instanceof Error ? error.message : "An unexpected error occurred",
     };
   }
 }
@@ -199,17 +203,17 @@ export async function transcribeAudio(
  */
 function getFileExtension(mimeType: string): string {
   const mimeToExt: Record<string, string> = {
-    'audio/webm': 'webm',
-    'audio/mp3': 'mp3',
-    'audio/mpeg': 'mp3',
-    'audio/wav': 'wav',
-    'audio/wave': 'wav',
-    'audio/ogg': 'ogg',
-    'audio/m4a': 'm4a',
-    'audio/mp4': 'm4a',
+    "audio/webm": "webm",
+    "audio/mp3": "mp3",
+    "audio/mpeg": "mp3",
+    "audio/wav": "wav",
+    "audio/wave": "wav",
+    "audio/ogg": "ogg",
+    "audio/m4a": "m4a",
+    "audio/mp4": "m4a",
   };
-  
-  return mimeToExt[mimeType] || 'audio';
+
+  return mimeToExt[mimeType] || "audio";
 }
 
 /**
@@ -217,37 +221,37 @@ function getFileExtension(mimeType: string): string {
  */
 function getLanguageName(langCode: string): string {
   const langMap: Record<string, string> = {
-    'en': 'English',
-    'es': 'Spanish',
-    'fr': 'French',
-    'de': 'German',
-    'it': 'Italian',
-    'pt': 'Portuguese',
-    'ru': 'Russian',
-    'ja': 'Japanese',
-    'ko': 'Korean',
-    'zh': 'Chinese',
-    'ar': 'Arabic',
-    'hi': 'Hindi',
-    'nl': 'Dutch',
-    'pl': 'Polish',
-    'tr': 'Turkish',
-    'sv': 'Swedish',
-    'da': 'Danish',
-    'no': 'Norwegian',
-    'fi': 'Finnish',
+    en: "English",
+    es: "Spanish",
+    fr: "French",
+    de: "German",
+    it: "Italian",
+    pt: "Portuguese",
+    ru: "Russian",
+    ja: "Japanese",
+    ko: "Korean",
+    zh: "Chinese",
+    ar: "Arabic",
+    hi: "Hindi",
+    nl: "Dutch",
+    pl: "Polish",
+    tr: "Turkish",
+    sv: "Swedish",
+    da: "Danish",
+    no: "Norwegian",
+    fi: "Finnish",
   };
-  
+
   return langMap[langCode] || langCode;
 }
 
 /**
  * Example tRPC procedure implementation:
- * 
+ *
  * ```ts
  * // In server/routers.ts
  * import { transcribeAudio } from "./_core/voiceTranscription";
- * 
+ *
  * export const voiceRouter = router({
  *   transcribe: protectedProcedure
  *     .input(z.object({
@@ -257,7 +261,7 @@ function getLanguageName(langCode: string): string {
  *     }))
  *     .mutation(async ({ input, ctx }) => {
  *       const result = await transcribeAudio(input);
- *       
+ *
  *       // Check if it's an error
  *       if ('error' in result) {
  *         throw new TRPCError({
@@ -266,7 +270,7 @@ function getLanguageName(langCode: string): string {
  *           cause: result,
  *         });
  *       }
- *       
+ *
  *       // Optionally save transcription to database
  *       await db.insert(transcriptions).values({
  *         userId: ctx.user.id,
@@ -276,7 +280,7 @@ function getLanguageName(langCode: string): string {
  *         audioUrl: input.audioUrl,
  *         createdAt: new Date(),
  *       });
- *       
+ *
  *       return result;
  *     }),
  * });
diff --git a/server/auth.logout.test.ts b/server/auth.logout.test.ts
index 3071539..f5e56cc 100644
--- a/server/auth.logout.test.ts
+++ b/server/auth.logout.test.ts
@@ -10,7 +10,10 @@ type CookieCall = {
 
 type AuthenticatedUser = NonNullable<TrpcContext["user"]>;
 
-function createAuthContext(): { ctx: TrpcContext; clearedCookies: CookieCall[] } {
+function createAuthContext(): {
+  ctx: TrpcContext;
+  clearedCookies: CookieCall[];
+} {
   const clearedCookies: CookieCall[] = [];
 
   const user: AuthenticatedUser = {
diff --git a/server/db.profiles.ts b/server/db.profiles.ts
index 06f1937..5569042 100644
--- a/server/db.profiles.ts
+++ b/server/db.profiles.ts
@@ -6,7 +6,10 @@ import { jobSeekerProfiles, recruiterProfiles, users } from "../drizzle/schema";
  * Profile Management - Real database operations
  */
 
-export async function updateUserProfile(userId: number, updates: { name?: string; email?: string; profilePictureUrl?: string }): Promise<void> {
+export async function updateUserProfile(
+  userId: number,
+  updates: { name?: string; email?: string; profilePictureUrl?: string }
+): Promise<void> {
   const db = await getDb();
   if (!db) return;
 
@@ -23,7 +26,11 @@ export async function getJobSeekerProfile(userId: number) {
   const db = await getDb();
   if (!db) return null;
 
-  const result = await db.select().from(jobSeekerProfiles).where(eq(jobSeekerProfiles.userId, userId)).limit(1);
+  const result = await db
+    .select()
+    .from(jobSeekerProfiles)
+    .where(eq(jobSeekerProfiles.userId, userId))
+    .limit(1);
   return result.length > 0 ? result[0] : null;
 }
 
@@ -49,16 +56,24 @@ export async function upsertJobSeekerProfile(data: {
     headline: data.headline || existing?.headline,
     currentRole: data.currentRole || existing?.currentRole,
     yearsExperience: data.yearsExperience ?? existing?.yearsExperience,
-    desiredRoles: data.desiredRoles ? JSON.stringify(data.desiredRoles) : existing?.desiredRoles,
-    desiredLocations: data.desiredLocations ? JSON.stringify(data.desiredLocations) : existing?.desiredLocations,
+    desiredRoles: data.desiredRoles
+      ? JSON.stringify(data.desiredRoles)
+      : existing?.desiredRoles,
+    desiredLocations: data.desiredLocations
+      ? JSON.stringify(data.desiredLocations)
+      : existing?.desiredLocations,
     salaryExpectation: data.salaryExpectation ?? existing?.salaryExpectation,
     workPreference: data.workPreference || existing?.workPreference,
     availability: data.availability || existing?.availability,
-    openToOpportunities: data.openToOpportunities ?? existing?.openToOpportunities,
+    openToOpportunities:
+      data.openToOpportunities ?? existing?.openToOpportunities,
   };
 
   if (existing) {
-    await db.update(jobSeekerProfiles).set(profileData as any).where(eq(jobSeekerProfiles.userId, data.userId));
+    await db
+      .update(jobSeekerProfiles)
+      .set(profileData as any)
+      .where(eq(jobSeekerProfiles.userId, data.userId));
   } else {
     await db.insert(jobSeekerProfiles).values(profileData as any);
   }
@@ -70,7 +85,11 @@ export async function getRecruiterProfile(userId: number) {
   const db = await getDb();
   if (!db) return null;
 
-  const result = await db.select().from(recruiterProfiles).where(eq(recruiterProfiles.userId, userId)).limit(1);
+  const result = await db
+    .select()
+    .from(recruiterProfiles)
+    .where(eq(recruiterProfiles.userId, userId))
+    .limit(1);
   return result.length > 0 ? result[0] : null;
 }
 
@@ -101,7 +120,10 @@ export async function upsertRecruiterProfile(data: {
   };
 
   if (existing) {
-    await db.update(recruiterProfiles).set(profileData as any).where(eq(recruiterProfiles.userId, data.userId));
+    await db
+      .update(recruiterProfiles)
+      .set(profileData as any)
+      .where(eq(recruiterProfiles.userId, data.userId));
   } else {
     await db.insert(recruiterProfiles).values(profileData as any);
   }
diff --git a/server/db.ts b/server/db.ts
index 2edc9a7..f3ab046 100644
--- a/server/db.ts
+++ b/server/db.ts
@@ -173,23 +173,29 @@ export async function getUserResumes(userId: number) {
     .from(resumes)
     .where(eq(resumes.userId, userId))
     .orderBy(desc(resumes.createdAt));
-  
+
   return results.map(resume => ({
     ...resume,
-    content: typeof resume.content === 'string' ? JSON.parse(resume.content) : resume.content,
+    content:
+      typeof resume.content === "string"
+        ? JSON.parse(resume.content)
+        : resume.content,
   }));
 }
 
 export async function createResume(data: any) {
   const db = await getDb();
   if (!db) return undefined;
-  
+
   // Serialize content to JSON string if it's an object
   const serializedData = {
     ...data,
-    content: typeof data.content === 'string' ? data.content : JSON.stringify(data.content),
+    content:
+      typeof data.content === "string"
+        ? data.content
+        : JSON.stringify(data.content),
   };
-  
+
   const result = await db.insert(resumes).values(serializedData as any);
   return result;
 }
@@ -197,13 +203,20 @@ export async function createResume(data: any) {
 export async function getResumeById(id: number) {
   const db = await getDb();
   if (!db) return undefined;
-  const result = await db.select().from(resumes).where(eq(resumes.id, id)).limit(1);
+  const result = await db
+    .select()
+    .from(resumes)
+    .where(eq(resumes.id, id))
+    .limit(1);
   if (result.length === 0) return undefined;
-  
+
   const resume = result[0];
   return {
     ...resume,
-    content: typeof resume.content === 'string' ? JSON.parse(resume.content) : resume.content,
+    content:
+      typeof resume.content === "string"
+        ? JSON.parse(resume.content)
+        : resume.content,
   };
 }
 
@@ -391,7 +404,10 @@ export async function getMockInterviewById(id: number) {
 export async function updateMockInterview(id: number, data: any) {
   const db = await getDb();
   if (!db) return undefined;
-  return await db.update(mockInterviews).set(data).where(eq(mockInterviews.id, id));
+  return await db
+    .update(mockInterviews)
+    .set(data)
+    .where(eq(mockInterviews.id, id));
 }
 
 // Connections queries
@@ -472,29 +488,30 @@ export async function getRecruiterPostedJobs(recruiterId: number) {
 export async function createPostedJob(data: any) {
   const db = await getDb();
   if (!db) return undefined;
-  
+
   // Create posted job record
   const postedJobResult = await db.insert(postedJobs).values({
     ...data,
-    status: 'published',
+    status: "published",
   });
-  
+
   // Also create entry in main jobs table for search
-  const jobId = 'internal_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);
+  const jobId =
+    "internal_" + Date.now() + "_" + Math.random().toString(36).substr(2, 9);
   await db.insert(jobs).values({
     title: data.title,
     description: data.description,
-    requirements: data.requirements || '',
-    company: data.company || 'Unknown Company',
-    location: data.location || '',
-    salary: data.salary || '',
-    jobType: data.jobType || 'full_time',
+    requirements: data.requirements || "",
+    company: data.company || "Unknown Company",
+    location: data.location || "",
+    salary: data.salary || "",
+    jobType: data.jobType || "full_time",
     isActive: true,
     postedDate: new Date(),
-    source: 'other',
+    source: "other",
     sourceJobId: jobId,
   });
-  
+
   return postedJobResult;
 }
 
@@ -512,7 +529,9 @@ export async function getTailoredResumeForJob(userId: number, jobId: number) {
   const result = await db
     .select()
     .from(tailoredResumes)
-    .where(and(eq(tailoredResumes.userId, userId), eq(tailoredResumes.jobId, jobId)))
+    .where(
+      and(eq(tailoredResumes.userId, userId), eq(tailoredResumes.jobId, jobId))
+    )
     .limit(1);
   return result.length > 0 ? result[0] : undefined;
 }
@@ -526,12 +545,21 @@ function or(...conditions: any[]) {
 export async function deleteSkill(skillId: number, userId: number) {
   const db = await getDb();
   if (!db) return undefined;
-  return await db.delete(skills).where(and(eq(skills.id, skillId), eq(skills.userId, userId)));
+  return await db
+    .delete(skills)
+    .where(and(eq(skills.id, skillId), eq(skills.userId, userId)));
 }
 
 // Delete external profile
 export async function deleteExternalProfile(profileId: number, userId: number) {
   const db = await getDb();
   if (!db) return undefined;
-  return await db.delete(externalProfiles).where(and(eq(externalProfiles.id, profileId), eq(externalProfiles.userId, userId)));
+  return await db
+    .delete(externalProfiles)
+    .where(
+      and(
+        eq(externalProfiles.id, profileId),
+        eq(externalProfiles.userId, userId)
+      )
+    );
 }
diff --git a/server/integration.test.ts b/server/integration.test.ts
index 29e31be..de4ae24 100644
--- a/server/integration.test.ts
+++ b/server/integration.test.ts
@@ -21,15 +21,23 @@ describe("Integration Tests", () => {
       try {
         const result = await db.createPostedJob(postedJobData);
         expect(result).toBeDefined();
-        
+
         // Verify job appears in search results
-        const searchResults = await db.searchJobs({ title: "Senior React" }, 20, 0);
-        const foundJob = searchResults?.find((j: any) => j.title === "Senior React Developer");
+        const searchResults = await db.searchJobs(
+          { title: "Senior React" },
+          20,
+          0
+        );
+        const foundJob = searchResults?.find(
+          (j: any) => j.title === "Senior React Developer"
+        );
         expect(foundJob).toBeDefined();
         expect(foundJob?.company).toBe("Tech Corp");
       } catch (error) {
         // Expected in test environment without real DB
-        console.log("Integration test: DB not available (expected in test env)");
+        console.log(
+          "Integration test: DB not available (expected in test env)"
+        );
       }
     });
 
@@ -49,7 +57,9 @@ describe("Integration Tests", () => {
         // The status should be 'published' not 'draft'
         expect(result).toBeDefined();
       } catch (error) {
-        console.log("Integration test: DB not available (expected in test env)");
+        console.log(
+          "Integration test: DB not available (expected in test env)"
+        );
       }
     });
   });
@@ -74,11 +84,16 @@ describe("Integration Tests", () => {
 
         // Delete profile (if ID is available)
         if (profiles && profiles.length > 0) {
-          const deleteResult = await db.deleteExternalProfile(profiles[0].id, 1);
+          const deleteResult = await db.deleteExternalProfile(
+            profiles[0].id,
+            1
+          );
           expect(deleteResult).toBeDefined();
         }
       } catch (error) {
-        console.log("Integration test: DB not available (expected in test env)");
+        console.log(
+          "Integration test: DB not available (expected in test env)"
+        );
       }
     });
   });
@@ -107,7 +122,9 @@ describe("Integration Tests", () => {
           expect(deleteResult).toBeDefined();
         }
       } catch (error) {
-        console.log("Integration test: DB not available (expected in test env)");
+        console.log(
+          "Integration test: DB not available (expected in test env)"
+        );
       }
     });
   });
diff --git a/server/oauth.test.ts b/server/oauth.test.ts
index 3c040b1..21b61b2 100644
--- a/server/oauth.test.ts
+++ b/server/oauth.test.ts
@@ -40,7 +40,10 @@ describe("OAuth Providers", () => {
     });
 
     it("should generate Google auth URL", () => {
-      const url = getGoogleAuthUrl("http://localhost:3000/callback", "state123");
+      const url = getGoogleAuthUrl(
+        "http://localhost:3000/callback",
+        "state123"
+      );
 
       expect(url).toContain("accounts.google.com");
       expect(url).toContain("client_id=");
@@ -82,7 +85,10 @@ describe("OAuth Providers", () => {
     });
 
     it("should generate GitHub auth URL", () => {
-      const url = getGitHubAuthUrl("http://localhost:3000/callback", "state456");
+      const url = getGitHubAuthUrl(
+        "http://localhost:3000/callback",
+        "state456"
+      );
 
       expect(url).toContain("github.com/login/oauth/authorize");
       expect(url).toContain("client_id=");
@@ -131,7 +137,10 @@ describe("OAuth Providers", () => {
     });
 
     it("should generate LinkedIn auth URL", () => {
-      const url = getLinkedInAuthUrl("http://localhost:3000/callback", "state789");
+      const url = getLinkedInAuthUrl(
+        "http://localhost:3000/callback",
+        "state789"
+      );
 
       expect(url).toContain("linkedin.com/oauth/v2/authorization");
       expect(url).toContain("client_id=");
diff --git a/server/resumes.test.ts b/server/resumes.test.ts
index d76dda6..f715d6e 100644
--- a/server/resumes.test.ts
+++ b/server/resumes.test.ts
@@ -80,18 +80,14 @@ describe("Resume Management", () => {
 
     // Test serialization logic
     const serialized =
-      typeof contentObj === "string"
-        ? contentObj
-        : JSON.stringify(contentObj);
+      typeof contentObj === "string" ? contentObj : JSON.stringify(contentObj);
 
     expect(typeof serialized).toBe("string");
     expect(serialized).toContain("Test summary");
 
     // Test deserialization logic
     const deserialized =
-      typeof serialized === "string"
-        ? JSON.parse(serialized)
-        : serialized;
+      typeof serialized === "string" ? JSON.parse(serialized) : serialized;
 
     expect(deserialized.summary).toBe("Test summary");
     expect(deserialized.skills).toContain("React");
@@ -111,9 +107,7 @@ describe("Resume Management", () => {
     expect(typeof serialized).toBe("string");
 
     const deserialized =
-      typeof serialized === "string"
-        ? JSON.parse(serialized)
-        : serialized;
+      typeof serialized === "string" ? JSON.parse(serialized) : serialized;
 
     expect(deserialized.summary).toBe("Already serialized");
   });
diff --git a/server/routers.ts b/server/routers.ts
index a94b072..9e2ed46 100644
--- a/server/routers.ts
+++ b/server/routers.ts
@@ -9,7 +9,7 @@ import { invokeLLM } from "./_core/llm";
 export const appRouter = router({
   system: systemRouter,
   auth: router({
-    me: publicProcedure.query((opts) => opts.ctx.user),
+    me: publicProcedure.query(opts => opts.ctx.user),
     logout: publicProcedure.mutation(({ ctx }) => {
       const cookieOptions = getSessionCookieOptions(ctx.req);
       ctx.res.clearCookie(COOKIE_NAME, { ...cookieOptions, maxAge: -1 });
@@ -35,15 +35,26 @@ export const appRouter = router({
       )
       .mutation(async ({ ctx, input }) => {
         const dbConn = await db.getDb();
-        if (dbConn && (input.name !== undefined || input.bio !== undefined || input.location !== undefined || input.profilePictureUrl !== undefined)) {
+        if (
+          dbConn &&
+          (input.name !== undefined ||
+            input.bio !== undefined ||
+            input.location !== undefined ||
+            input.profilePictureUrl !== undefined)
+        ) {
           const { eq } = await import("drizzle-orm");
           const { users } = await import("../drizzle/schema");
           const updateData: Record<string, unknown> = {};
           if (input.name !== undefined) updateData.name = input.name;
           if (input.bio !== undefined) updateData.bio = input.bio;
-          if (input.location !== undefined) updateData.location = input.location;
-          if (input.profilePictureUrl !== undefined) updateData.profilePictureUrl = input.profilePictureUrl;
-          await dbConn.update(users).set(updateData).where(eq(users.id, ctx.user.id));
+          if (input.location !== undefined)
+            updateData.location = input.location;
+          if (input.profilePictureUrl !== undefined)
+            updateData.profilePictureUrl = input.profilePictureUrl;
+          await dbConn
+            .update(users)
+            .set(updateData)
+            .where(eq(users.id, ctx.user.id));
         }
         return { success: true };
       }),
@@ -128,7 +139,9 @@ export const appRouter = router({
       .input(
         z.object({
           skillName: z.string(),
-          proficiencyLevel: z.enum(["beginner", "intermediate", "advanced", "expert"]).optional(),
+          proficiencyLevel: z
+            .enum(["beginner", "intermediate", "advanced", "expert"])
+            .optional(),
           yearsOfExperience: z.number().optional(),
         })
       )
@@ -155,7 +168,12 @@ export const appRouter = router({
     add: protectedProcedure
       .input(
         z.object({
-          platform: z.enum(["github", "linkedin", "portfolio", "personal_website"]),
+          platform: z.enum([
+            "github",
+            "linkedin",
+            "portfolio",
+            "personal_website",
+          ]),
           profileUrl: z.string().url(),
           username: z.string().optional(),
         })
@@ -322,7 +340,10 @@ export const appRouter = router({
         })
       )
       .mutation(async ({ input }) => {
-        return await db.updateApplicationStatus(input.applicationId, input.status);
+        return await db.updateApplicationStatus(
+          input.applicationId,
+          input.status
+        );
       }),
   }),
 
@@ -357,7 +378,12 @@ export const appRouter = router({
       .input(
         z.object({
           jobId: z.number().optional(),
-          interviewType: z.enum(["behavioral", "technical", "case_study", "general"]),
+          interviewType: z.enum([
+            "behavioral",
+            "technical",
+            "case_study",
+            "general",
+          ]),
           difficulty: z.enum(["easy", "medium", "hard"]).optional(),
         })
       )
@@ -558,7 +584,8 @@ export const appRouter = router({
         })
       )
       .mutation(async ({ input }) => {
-        const { advancedCvService } = await import("./services/advancedCvService");
+        const { advancedCvService } =
+          await import("./services/advancedCvService");
         return await advancedCvService.analyzeCVForJob(input.cvContent, {
           title: input.jobTitle,
           description: input.jobDescription,
@@ -575,13 +602,16 @@ export const appRouter = router({
         z.object({
           jobTitle: z.string(),
           jobDescription: z.string(),
-          interviewType: z.enum(["behavioral", "technical", "case_study", "mixed"]).optional(),
+          interviewType: z
+            .enum(["behavioral", "technical", "case_study", "mixed"])
+            .optional(),
           difficulty: z.enum(["easy", "medium", "hard"]).optional(),
           count: z.number().optional(),
         })
       )
       .query(async ({ input }) => {
-        const { advancedInterviewService } = await import("./services/advancedInterviewService");
+        const { advancedInterviewService } =
+          await import("./services/advancedInterviewService");
         return await advancedInterviewService.generateInterviewQuestions(
           input.jobTitle,
           input.jobDescription,
diff --git a/server/services.test.ts b/server/services.test.ts
index 7ad1511..53d6cce 100644
--- a/server/services.test.ts
+++ b/server/services.test.ts
@@ -7,7 +7,12 @@ import {
   extractSkillsFromJobDescription,
   matchJobToProfile,
 } from "./services/mlService";
-import { tailorCVForJob, generateJobMatches, generateInterviewQuestion, evaluateInterviewAnswer } from "./services/aiService";
+import {
+  tailorCVForJob,
+  generateJobMatches,
+  generateInterviewQuestion,
+  evaluateInterviewAnswer,
+} from "./services/aiService";
 
 describe("ML Service", () => {
   describe("calculateSkillMatchScore", () => {
@@ -39,7 +44,10 @@ describe("ML Service", () => {
 
   describe("calculateLocationMatchScore", () => {
     it("should give 100 for exact location match", () => {
-      const score = calculateLocationMatchScore(["San Francisco, CA"], "San Francisco, CA");
+      const score = calculateLocationMatchScore(
+        ["San Francisco, CA"],
+        "San Francisco, CA"
+      );
       expect(score).toBe(100);
     });
 
@@ -49,7 +57,10 @@ describe("ML Service", () => {
     });
 
     it("should give partial score for same state", () => {
-      const score = calculateLocationMatchScore(["Los Angeles, CA"], "San Francisco, CA");
+      const score = calculateLocationMatchScore(
+        ["Los Angeles, CA"],
+        "San Francisco, CA"
+      );
       expect(score).toBe(70);
     });
   });
@@ -87,7 +98,8 @@ describe("ML Service", () => {
 
   describe("extractSkillsFromJobDescription", () => {
     it("should extract common skills", () => {
-      const description = "We need a React developer with Node.js and TypeScript experience";
+      const description =
+        "We need a React developer with Node.js and TypeScript experience";
       const skills = extractSkillsFromJobDescription(description, "");
 
       expect(skills).toContain("React");
@@ -132,37 +144,63 @@ describe("ML Service", () => {
 
 describe("AI Service", () => {
   describe("tailorCVForJob", () => {
-    it("should return a string response", async () => {
-      const jobDescription = "Looking for a senior developer";
-      const jobRequirements = "React, Node.js, 5+ years";
-      const resumeContent = { summary: "Experienced developer", skills: ["React", "Node.js"] };
-
-      const result = await tailorCVForJob(jobDescription, jobRequirements, resumeContent);
-
-      expect(typeof result).toBe("string");
-      expect(result.length).toBeGreaterThan(0);
-    }, { timeout: 15000 });
+    it(
+      "should return a string response",
+      async () => {
+        const jobDescription = "Looking for a senior developer";
+        const jobRequirements = "React, Node.js, 5+ years";
+        const resumeContent = {
+          summary: "Experienced developer",
+          skills: ["React", "Node.js"],
+        };
+
+        const result = await tailorCVForJob(
+          jobDescription,
+          jobRequirements,
+          resumeContent
+        );
+
+        expect(typeof result).toBe("string");
+        expect(result.length).toBeGreaterThan(0);
+      },
+      { timeout: 15000 }
+    );
   });
 
   describe("generateInterviewQuestion", () => {
-    it("should generate a question for behavioral interviews", async () => {
-      const question = await generateInterviewQuestion("behavioral", "medium");
-
-      expect(typeof question).toBe("string");
-      expect(question.length).toBeGreaterThan(0);
-    }, { timeout: 15000 });
-
-    it("should generate a question for technical interviews", async () => {
-      const question = await generateInterviewQuestion("technical", "hard");
-
-      expect(typeof question).toBe("string");
-      expect(question.length).toBeGreaterThan(0);
-    }, { timeout: 20000 });
+    it(
+      "should generate a question for behavioral interviews",
+      async () => {
+        const question = await generateInterviewQuestion(
+          "behavioral",
+          "medium"
+        );
+
+        expect(typeof question).toBe("string");
+        expect(question.length).toBeGreaterThan(0);
+      },
+      { timeout: 15000 }
+    );
+
+    it(
+      "should generate a question for technical interviews",
+      async () => {
+        const question = await generateInterviewQuestion("technical", "hard");
+
+        expect(typeof question).toBe("string");
+        expect(question.length).toBeGreaterThan(0);
+      },
+      { timeout: 20000 }
+    );
   });
 
   describe("evaluateInterviewAnswer", () => {
     it("should return score and feedback", async () => {
-      const result = await evaluateInterviewAnswer("Tell me about yourself", "I am a software engineer with 5 years of experience", "behavioral");
+      const result = await evaluateInterviewAnswer(
+        "Tell me about yourself",
+        "I am a software engineer with 5 years of experience",
+        "behavioral"
+      );
 
       expect(result).toHaveProperty("score");
       expect(result).toHaveProperty("feedback");
diff --git a/server/services/advancedCvService.ts b/server/services/advancedCvService.ts
index 891f83f..7ac1ad0 100644
--- a/server/services/advancedCvService.ts
+++ b/server/services/advancedCvService.ts
@@ -1,7 +1,5 @@
 import { invokeLLM } from "../_core/llm";
 
-
-
 interface CVAnalysisResult {
   atsScore: number;
   keywordMatches: string[];
@@ -43,13 +41,13 @@ export const advancedCvService = {
 
     // Find matching keywords in CV
     const cvLower = cvContent.toLowerCase();
-    const keywordMatches = allKeywords.filter((keyword) =>
+    const keywordMatches = allKeywords.filter(keyword =>
       cvLower.includes(keyword.toLowerCase())
     );
 
     // Identify missing keywords
     const missingKeywords = allKeywords.filter(
-      (keyword) => !cvLower.includes(keyword.toLowerCase())
+      keyword => !cvLower.includes(keyword.toLowerCase())
     );
 
     // Calculate ATS score (0-100)
@@ -160,11 +158,8 @@ Return only the enhanced bullet points, numbered, with no explanations.`;
    * Calculate ATS compatibility score (0-100)
    * Considers keyword density, formatting, structure, and content
    */
-  calculateATSScore(
-    cvContent: string,
-    jobDescription: JobDescription
-  ): number {
-    const keywordMatches = jobDescription.requiredSkills.filter((skill) =>
+  calculateATSScore(cvContent: string, jobDescription: JobDescription): number {
+    const keywordMatches = jobDescription.requiredSkills.filter(skill =>
       cvContent.toLowerCase().includes(skill.toLowerCase())
     );
 
@@ -182,8 +177,9 @@ Return only the enhanced bullet points, numbered, with no explanations.`;
     const hasContactInfo =
       /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/.test(cvContent);
     const hasPhoneNumber = /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/.test(cvContent);
-    const hasExperienceSection =
-      /experience|employment|work history/i.test(cvContent);
+    const hasExperienceSection = /experience|employment|work history/i.test(
+      cvContent
+    );
     const hasSkillsSection = /skills|competencies/i.test(cvContent);
 
     if (hasContactInfo) structureScore += 5;
@@ -191,7 +187,10 @@ Return only the enhanced bullet points, numbered, with no explanations.`;
     if (hasExperienceSection) structureScore += 10;
     if (hasSkillsSection) structureScore += 10;
 
-    return Math.min(100, Math.round(keywordScore + formatScore + structureScore));
+    return Math.min(
+      100,
+      Math.round(keywordScore + formatScore + structureScore)
+    );
   },
 };
 
@@ -202,7 +201,7 @@ function extractKeywordsFromDescription(description: string): string[] {
   const words = description
     .toLowerCase()
     .split(/\s+/)
-    .filter((word) => word.length > 4);
+    .filter(word => word.length > 4);
 
   // Remove common stop words
   const stopWords = new Set([
@@ -230,9 +229,7 @@ function extractKeywordsFromDescription(description: string): string[] {
     "also",
   ]);
 
-  return words.filter(
-    (word) => !stopWords.has(word) && word.length > 4
-  );
+  return words.filter(word => !stopWords.has(word) && word.length > 4);
 }
 
 /**
@@ -291,7 +288,9 @@ function generateATSSuggestions(
   }
 
   if (!cvContent.includes("•") && !cvContent.includes("-")) {
-    suggestions.push("Use bullet points for better readability and ATS parsing.");
+    suggestions.push(
+      "Use bullet points for better readability and ATS parsing."
+    );
   }
 
   if (!/\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/.test(cvContent)) {
diff --git a/server/services/advancedInterviewService.ts b/server/services/advancedInterviewService.ts
index a894a0a..32204e5 100644
--- a/server/services/advancedInterviewService.ts
+++ b/server/services/advancedInterviewService.ts
@@ -1,7 +1,5 @@
 import { invokeLLM } from "../_core/llm";
 
-
-
 interface InterviewQuestion {
   id: string;
   type: "behavioral" | "technical" | "case_study" | "general";
@@ -48,7 +46,11 @@ export const advancedInterviewService = {
   async generateInterviewQuestions(
     jobTitle: string,
     jobDescription: string,
-    interviewType: "behavioral" | "technical" | "case_study" | "mixed" = "mixed",
+    interviewType:
+      | "behavioral"
+      | "technical"
+      | "case_study"
+      | "mixed" = "mixed",
     difficulty: "easy" | "medium" | "hard" = "medium",
     count: number = 5
   ): Promise<InterviewQuestion[]> {
@@ -89,7 +91,10 @@ Return ONLY valid JSON, no markdown or explanations.`;
         const parsed = JSON.parse(text);
         return Array.isArray(parsed) ? parsed : [parsed];
       } catch (parseError) {
-        console.error("Failed to parse LLM response as JSON array:", parseError);
+        console.error(
+          "Failed to parse LLM response as JSON array:",
+          parseError
+        );
         return [];
       }
     } catch (error) {
@@ -189,7 +194,10 @@ Return as a JSON array of strings, with no markdown or explanations.`;
         const parsed = JSON.parse(text);
         return Array.isArray(parsed) ? parsed : [parsed];
       } catch (parseError) {
-        console.error("Failed to parse LLM response as JSON array:", parseError);
+        console.error(
+          "Failed to parse LLM response as JSON array:",
+          parseError
+        );
         return [];
       }
     } catch (error) {
@@ -210,8 +218,7 @@ Return as a JSON array of strings, with no markdown or explanations.`;
       sessionScores.reduce((a, b) => a + b, 0) / sessionScores.length;
     const consistency =
       sessionScores.length > 1
-        ? 100 -
-          (Math.max(...sessionScores) - Math.min(...sessionScores)) * 2
+        ? 100 - (Math.max(...sessionScores) - Math.min(...sessionScores)) * 2
         : 50;
 
     return Math.round((average + consistency) / 2);
@@ -287,7 +294,7 @@ function calculateContentScore(
 
   // Check for expected keywords
   if (question.expectedKeywords && question.expectedKeywords.length > 0) {
-    const keywordMatches = question.expectedKeywords.filter((keyword) =>
+    const keywordMatches = question.expectedKeywords.filter(keyword =>
       response.toLowerCase().includes(keyword.toLowerCase())
     ).length;
     const keywordScore =
@@ -320,18 +327,19 @@ function calculateStructureScore(
   if (hasOpening) score += 10;
 
   // Check for transitions
-  const transitionCount = (response.match(/then|next|after that|subsequently/gi) || []).length;
+  const transitionCount = (
+    response.match(/then|next|after that|subsequently/gi) || []
+  ).length;
   if (transitionCount >= 2) score += 15;
   else if (transitionCount >= 1) score += 8;
 
   // Check for clear conclusion
-  const hasConclusion = /conclusion|summary|learned|takeaway|result|ultimately/i.test(
-    response
-  );
+  const hasConclusion =
+    /conclusion|summary|learned|takeaway|result|ultimately/i.test(response);
   if (hasConclusion) score += 10;
 
   // Check for logical flow
-  const sentences = response.split(/[.!?]+/).filter((s) => s.trim().length > 0);
+  const sentences = response.split(/[.!?]+/).filter(s => s.trim().length > 0);
   if (sentences.length >= 5) score += 10;
 
   return Math.min(100, Math.max(0, Math.round(score)));
@@ -345,19 +353,25 @@ function calculateCommunicationScore(response: string): number {
   let score = 60;
 
   // Check for filler words (negative)
-  const fillerWords = (response.match(/um|uh|like|you know|basically|actually/gi) || []).length;
+  const fillerWords = (
+    response.match(/um|uh|like|you know|basically|actually/gi) || []
+  ).length;
   if (fillerWords === 0) score += 15;
   else if (fillerWords <= 3) score += 10;
   else if (fillerWords <= 6) score += 5;
   else score -= 10;
 
   // Check for professional language
-  const professionalTerms = (response.match(/achieved|implemented|developed|managed|led|collaborated/gi) || []).length;
+  const professionalTerms = (
+    response.match(
+      /achieved|implemented|developed|managed|led|collaborated/gi
+    ) || []
+  ).length;
   if (professionalTerms >= 3) score += 10;
   else if (professionalTerms >= 1) score += 5;
 
   // Check for sentence variety
-  const sentences = response.split(/[.!?]+/).filter((s) => s.trim().length > 0);
+  const sentences = response.split(/[.!?]+/).filter(s => s.trim().length > 0);
   const avgLength = response.length / Math.max(sentences.length, 1);
   if (avgLength >= 15 && avgLength <= 30) score += 10;
 
@@ -372,18 +386,24 @@ function calculateConfidenceScore(response: string): number {
   let score = 60;
 
   // Check for uncertain language (negative)
-  const uncertainPhrases = (response.match(/i think|maybe|i guess|sort of|kind of|perhaps/gi) || []).length;
+  const uncertainPhrases = (
+    response.match(/i think|maybe|i guess|sort of|kind of|perhaps/gi) || []
+  ).length;
   if (uncertainPhrases === 0) score += 20;
   else if (uncertainPhrases <= 2) score += 10;
   else if (uncertainPhrases <= 4) score += 5;
 
   // Check for assertive language (positive)
-  const assertivePhrases = (response.match(/i successfully|i ensured|i determined|i decided/gi) || []).length;
+  const assertivePhrases = (
+    response.match(/i successfully|i ensured|i determined|i decided/gi) || []
+  ).length;
   if (assertivePhrases >= 2) score += 15;
   else if (assertivePhrases >= 1) score += 8;
 
   // Check for ownership language
-  const ownershipPhrases = (response.match(/i led|i managed|i owned|i drove/gi) || []).length;
+  const ownershipPhrases = (
+    response.match(/i led|i managed|i owned|i drove/gi) || []
+  ).length;
   if (ownershipPhrases >= 2) score += 10;
 
   return Math.min(100, Math.max(0, Math.round(score)));
@@ -445,9 +465,13 @@ Please comment on how well the response follows the STAR method.`;
     const text = typeof content === "string" ? content : "{}";
     try {
       const parsed = JSON.parse(text);
-      if (typeof parsed === 'object' && parsed !== null && 'feedback' in parsed) {
+      if (
+        typeof parsed === "object" &&
+        parsed !== null &&
+        "feedback" in parsed
+      ) {
         return parsed.feedback as string;
-      } else if (typeof parsed === 'string') {
+      } else if (typeof parsed === "string") {
         return parsed;
       }
     } catch (parseError) {
@@ -463,9 +487,10 @@ Please comment on how well the response follows the STAR method.`;
 /**
  * Extract strengths and improvements from feedback text
  */
-function extractFeedbackPoints(
-  feedback: string
-): { strengths: string[]; improvements: string[] } {
+function extractFeedbackPoints(feedback: string): {
+  strengths: string[];
+  improvements: string[];
+} {
   const strengths: string[] = [];
   const improvements: string[] = [];
 
@@ -474,7 +499,7 @@ function extractFeedbackPoints(
     /(?:well|good|strong|excellent|effectively|successfully)[^.!?]*[.!?]/gi
   );
   if (strengthsMatch) {
-    strengthsMatch.slice(0, 3).forEach((s) => {
+    strengthsMatch.slice(0, 3).forEach(s => {
       strengths.push(s.replace(/[.!?]$/, "").trim());
     });
   }
@@ -484,7 +509,7 @@ function extractFeedbackPoints(
     /(?:improve|consider|could|should|might|try)[^.!?]*[.!?]/gi
   );
   if (improvementsMatch) {
-    improvementsMatch.slice(0, 3).forEach((s) => {
+    improvementsMatch.slice(0, 3).forEach(s => {
       improvements.push(s.replace(/[.!?]$/, "").trim());
     });
   }
diff --git a/server/services/advancedJobMatchingService.ts b/server/services/advancedJobMatchingService.ts
index 2bf200c..86d1fe4 100644
--- a/server/services/advancedJobMatchingService.ts
+++ b/server/services/advancedJobMatchingService.ts
@@ -124,7 +124,9 @@ export const advancedJobMatchingService = {
     jobs: JobOpportunity[],
     topN: number = 10
   ): Promise<MatchResult[]> {
-    const matches = await Promise.all(jobs.map((job) => this.calculateMatchScore(userProfile, job)));
+    const matches = await Promise.all(
+      jobs.map(job => this.calculateMatchScore(userProfile, job))
+    );
 
     return matches.sort((a, b) => b.match_score - a.match_score).slice(0, topN);
   },
@@ -133,11 +135,11 @@ export const advancedJobMatchingService = {
    * Identify skill gaps for a specific job
    */
   identifySkillGaps(userProfile: UserProfile, job: JobOpportunity): string[] {
-    const userSkillsLower = userProfile.skills.map((s) => s.toLowerCase());
-    const requiredSkillsLower = job.required_skills.map((s) => s.toLowerCase());
+    const userSkillsLower = userProfile.skills.map(s => s.toLowerCase());
+    const requiredSkillsLower = job.required_skills.map(s => s.toLowerCase());
 
     return requiredSkillsLower.filter(
-      (skill) => !userSkillsLower.includes(skill)
+      skill => !userSkillsLower.includes(skill)
     );
   },
 
@@ -175,16 +177,8 @@ export const advancedJobMatchingService = {
         "Grokking the System Design Interview",
         "ByteByteGo",
       ],
-      sql: [
-        "SQLZoo",
-        "Mode Analytics SQL Tutorial",
-        "Codecademy SQL",
-      ],
-      aws: [
-        "AWS Free Tier",
-        "A Cloud Guru",
-        "Linux Academy AWS",
-      ],
+      sql: ["SQLZoo", "Mode Analytics SQL Tutorial", "Codecademy SQL"],
+      aws: ["AWS Free Tier", "A Cloud Guru", "Linux Academy AWS"],
       docker: [
         "Docker Official Docs",
         "Play with Docker",
@@ -195,11 +189,7 @@ export const advancedJobMatchingService = {
         "Katacoda Kubernetes",
         "Linux Academy Kubernetes",
       ],
-      "machine learning": [
-        "Fast.ai",
-        "Andrew Ng's ML Course",
-        "Kaggle Learn",
-      ],
+      "machine learning": ["Fast.ai", "Andrew Ng's ML Course", "Kaggle Learn"],
     };
 
     for (const gap of skillGaps) {
@@ -224,21 +214,21 @@ function calculateSkillMatch(
   userSkills: string[],
   job: JobOpportunity
 ): number {
-  const userSkillsSet = new Set(userSkills.map((s) => s.toLowerCase()));
+  const userSkillsSet = new Set(userSkills.map(s => s.toLowerCase()));
   const requiredSkillsSet = new Set(
-    job.required_skills.map((s) => s.toLowerCase())
+    job.required_skills.map(s => s.toLowerCase())
   );
   const preferredSkillsSet = new Set(
-    job.preferred_skills.map((s) => s.toLowerCase())
+    job.preferred_skills.map(s => s.toLowerCase())
   );
 
   // Calculate intersection with required skills
-  const requiredIntersection = Array.from(requiredSkillsSet).filter((skill) =>
+  const requiredIntersection = Array.from(requiredSkillsSet).filter(skill =>
     userSkillsSet.has(skill)
   ).length;
 
   // Calculate intersection with preferred skills
-  const preferredIntersection = Array.from(preferredSkillsSet).filter((skill) =>
+  const preferredIntersection = Array.from(preferredSkillsSet).filter(skill =>
     userSkillsSet.has(skill)
   ).length;
 
@@ -294,7 +284,9 @@ function calculateLocationMatch(
   }
 
   // Partial match for same country/region
-  const userCountries = preferredLocations.map((loc) => loc.split(",")[1]?.trim() || loc);
+  const userCountries = preferredLocations.map(
+    loc => loc.split(",")[1]?.trim() || loc
+  );
   const jobCountry = jobLocation.split(",")[1]?.trim() || jobLocation;
 
   if (userCountries.includes(jobCountry)) {
@@ -351,7 +343,7 @@ function calculateIndustryMatch(
     marketing: ["advertising", "pr", "communications", "media"],
   };
 
-  const userIndustriesLower = userIndustries.map((i) => i.toLowerCase());
+  const userIndustriesLower = userIndustries.map(i => i.toLowerCase());
   const jobIndustryLower = jobIndustry.toLowerCase();
 
   for (const [category, related] of Object.entries(relatedIndustries)) {
@@ -378,7 +370,6 @@ async function generateMatchReasoning(
   salaryScore: number,
   industryScore: number
 ): Promise<string> {
-
   const reasons: string[] = [];
 
   if (skillScore >= 80) {
diff --git a/server/services/aiService.ts b/server/services/aiService.ts
index 8a0cc86..eaea484 100644
--- a/server/services/aiService.ts
+++ b/server/services/aiService.ts
@@ -4,7 +4,11 @@ import { invokeLLM } from "../_core/llm";
  * AI Service - Handles all LLM-based operations for SprintWork
  */
 
-export async function tailorCVForJob(jobDescription: string, jobRequirements: string, resumeContent: any): Promise<string> {
+export async function tailorCVForJob(
+  jobDescription: string,
+  jobRequirements: string,
+  resumeContent: any
+): Promise<string> {
   const response = await invokeLLM({
     messages: [
       {
@@ -30,7 +34,11 @@ Return the tailored resume in JSON format with sections: summary, experience, sk
   return "";
 }
 
-export async function generateJobMatches(userProfile: any, userSkills: any[], jobListings: any[]): Promise<any[]> {
+export async function generateJobMatches(
+  userProfile: any,
+  userSkills: any[],
+  jobListings: any[]
+): Promise<any[]> {
   const response = await invokeLLM({
     messages: [
       {
@@ -61,7 +69,11 @@ Return a JSON array with: jobId, matchScore, matchReason, skillsMatched, skillsG
   }
 }
 
-export async function generateInterviewQuestion(interviewType: string, difficulty: string, jobDescription?: string): Promise<string> {
+export async function generateInterviewQuestion(
+  interviewType: string,
+  difficulty: string,
+  jobDescription?: string
+): Promise<string> {
   let systemPrompt = `You are an expert interview coach. Generate realistic and challenging interview questions for a ${difficulty} level ${interviewType} interview.`;
   let userPrompt = `Generate a single, thoughtful, open-ended ${difficulty} level ${interviewType} interview question.`;
 
@@ -98,7 +110,11 @@ export async function generateInterviewQuestion(interviewType: string, difficult
   return "";
 }
 
-export async function evaluateInterviewAnswer(question: string, answer: string, interviewType: string): Promise<{ score: number; feedback: string }> {
+export async function evaluateInterviewAnswer(
+  question: string,
+  answer: string,
+  interviewType: string
+): Promise<{ score: number; feedback: string }> {
   let systemPrompt = `You are an expert interview evaluator. Assess the candidate's answer to an interview question.`;
   let userPrompt = `Interview Type: ${interviewType}\nQuestion: ${question}\nCandidate Answer: ${answer}\n\nEvaluate this answer based on the following rubric and return a JSON object with 'score' (0-100) and 'feedback' (constructive comments):
 
@@ -144,15 +160,26 @@ Scoring Rubric:
 
   try {
     const content = response.choices[0]?.message?.content;
-    const contentStr = typeof content === "string" ? content : '{"score": 0, "feedback": "Unable to evaluate answer"}';
+    const contentStr =
+      typeof content === "string"
+        ? content
+        : '{"score": 0, "feedback": "Unable to evaluate answer"}';
     return JSON.parse(contentStr);
   } catch (error) {
     console.error("Failed to evaluate interview answer:", error);
-    return { score: 0, feedback: "Unable to evaluate answer due to processing error." };
+    return {
+      score: 0,
+      feedback: "Unable to evaluate answer due to processing error.",
+    };
   }
 }
 
-export async function generateInterviewFeedback(transcript: any[]): Promise<{ overallScore: number; strengths: string[]; improvements: string[]; recommendations: string[] }> {
+export async function generateInterviewFeedback(transcript: any[]): Promise<{
+  overallScore: number;
+  strengths: string[];
+  improvements: string[];
+  recommendations: string[];
+}> {
   const response = await invokeLLM({
     messages: [
       {
@@ -175,14 +202,29 @@ Return JSON with: overallScore, strengths (array), improvements (array), recomme
 
   try {
     const content = response.choices[0]?.message?.content;
-    const contentStr = typeof content === "string" ? content : '{"overallScore": 0, "strengths": [], "improvements": [], "recommendations": []}';
+    const contentStr =
+      typeof content === "string"
+        ? content
+        : '{"overallScore": 0, "strengths": [], "improvements": [], "recommendations": []}';
     return JSON.parse(contentStr);
   } catch {
-    return { overallScore: 0, strengths: [], improvements: [], recommendations: [] };
+    return {
+      overallScore: 0,
+      strengths: [],
+      improvements: [],
+      recommendations: [],
+    };
   }
 }
 
-export async function analyzeSkillGaps(userSkills: any[], jobRequirements: string): Promise<{ requiredSkills: string[]; skillGaps: string[]; developmentPlan: string[] }> {
+export async function analyzeSkillGaps(
+  userSkills: any[],
+  jobRequirements: string
+): Promise<{
+  requiredSkills: string[];
+  skillGaps: string[];
+  developmentPlan: string[];
+}> {
   const response = await invokeLLM({
     messages: [
       {
@@ -204,14 +246,21 @@ Return JSON with: requiredSkills (array), skillGaps (array), developmentPlan (ar
 
   try {
     const content = response.choices[0]?.message?.content;
-    const contentStr = typeof content === "string" ? content : '{"requiredSkills": [], "skillGaps": [], "developmentPlan": []}';
+    const contentStr =
+      typeof content === "string"
+        ? content
+        : '{"requiredSkills": [], "skillGaps": [], "developmentPlan": []}';
     return JSON.parse(contentStr);
   } catch {
     return { requiredSkills: [], skillGaps: [], developmentPlan: [] };
   }
 }
 
-export async function generateCoverLetter(userProfile: any, jobDescription: string, jobRequirements: string): Promise<string> {
+export async function generateCoverLetter(
+  userProfile: any,
+  jobDescription: string,
+  jobRequirements: string
+): Promise<string> {
   const response = await invokeLLM({
     messages: [
       {
@@ -237,7 +286,11 @@ Write in professional, engaging tone.`,
   return "";
 }
 
-export async function generateCareerAdvice(userProfile: any, userSkills: any[], careerGoals: string): Promise<string> {
+export async function generateCareerAdvice(
+  userProfile: any,
+  userSkills: any[],
+  careerGoals: string
+): Promise<string> {
   const response = await invokeLLM({
     messages: [
       {
diff --git a/server/services/cvTailoringService.ts b/server/services/cvTailoringService.ts
index 80af296..ef90a7c 100644
--- a/server/services/cvTailoringService.ts
+++ b/server/services/cvTailoringService.ts
@@ -90,7 +90,13 @@ export async function analyzeJobDescription(job: JobDescription): Promise<{
                 items: { type: "string" },
               },
             },
-            required: ["requiredSkills", "preferredSkills", "keyResponsibilities", "experienceLevel", "keywords"],
+            required: [
+              "requiredSkills",
+              "preferredSkills",
+              "keyResponsibilities",
+              "experienceLevel",
+              "keywords",
+            ],
             additionalProperties: false,
           },
         },
@@ -142,12 +148,20 @@ export async function calculateMatchScore(
   }
 ): Promise<number> {
   try {
-    const userSkillsLower = userProfile.skills.map((s) => s.toLowerCase());
-    const requiredSkillsLower = jobAnalysis.requiredSkills.map((s) => s.toLowerCase());
-    const preferredSkillsLower = jobAnalysis.preferredSkills.map((s) => s.toLowerCase());
+    const userSkillsLower = userProfile.skills.map(s => s.toLowerCase());
+    const requiredSkillsLower = jobAnalysis.requiredSkills.map(s =>
+      s.toLowerCase()
+    );
+    const preferredSkillsLower = jobAnalysis.preferredSkills.map(s =>
+      s.toLowerCase()
+    );
 
-    const requiredMatches = requiredSkillsLower.filter((skill) => userSkillsLower.some((us) => us.includes(skill) || skill.includes(us))).length;
-    const preferredMatches = preferredSkillsLower.filter((skill) => userSkillsLower.some((us) => us.includes(skill) || skill.includes(us))).length;
+    const requiredMatches = requiredSkillsLower.filter(skill =>
+      userSkillsLower.some(us => us.includes(skill) || skill.includes(us))
+    ).length;
+    const preferredMatches = preferredSkillsLower.filter(skill =>
+      userSkillsLower.some(us => us.includes(skill) || skill.includes(us))
+    ).length;
 
     // Weights for each factor
     const W_SKILLS = 0.6; // Skills are most important
@@ -157,9 +171,12 @@ export async function calculateMatchScore(
 
     // 1. Skill Match Score (Jaccard-like similarity)
     const allJobSkills = [...requiredSkillsLower, ...preferredSkillsLower];
-    const intersection = userSkillsLower.filter(skill => allJobSkills.includes(skill));
+    const intersection = userSkillsLower.filter(skill =>
+      allJobSkills.includes(skill)
+    );
     const union = new Set([...userSkillsLower, ...allJobSkills]);
-    const skillMatchScore = union.size === 0 ? 0 : (intersection.length / union.size);
+    const skillMatchScore =
+      union.size === 0 ? 0 : intersection.length / union.size;
 
     // 2. Experience Match Score (Placeholder for now, needs more data)
     // For now, a simple binary check or placeholder
@@ -177,12 +194,12 @@ export async function calculateMatchScore(
     // In a real scenario, this would compare user's salary expectations with job's salary range
     // For example: if (userProfile.salaryExpectation >= job.minSalary && userProfile.salaryExpectation <= job.maxSalary) salaryMatchScore = 1;
 
-    const totalScore = (
-      W_SKILLS * skillMatchScore +
-      W_EXPERIENCE * experienceMatchScore +
-      W_LOCATION * locationMatchScore +
-      W_SALARY * salaryMatchScore
-    ) * 100;
+    const totalScore =
+      (W_SKILLS * skillMatchScore +
+        W_EXPERIENCE * experienceMatchScore +
+        W_LOCATION * locationMatchScore +
+        W_SALARY * salaryMatchScore) *
+      100;
 
     return Math.round(totalScore);
   } catch (error) {
@@ -254,16 +271,27 @@ Generate the tailored resume content.`,
     }
 
     // Extract highlights (skills that match)
-    const userSkillsLower = userProfile.skills.map((s) => s.toLowerCase());
-    const highlights = jobAnalysis.requiredSkills.filter((skill) => userSkillsLower.some((us) => us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us)));
+    const userSkillsLower = userProfile.skills.map(s => s.toLowerCase());
+    const highlights = jobAnalysis.requiredSkills.filter(skill =>
+      userSkillsLower.some(
+        us =>
+          us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us)
+      )
+    );
 
     // Generate recommendations
     const recommendations: string[] = [];
     const missingSkills = jobAnalysis.requiredSkills.filter(
-      (skill) => !userSkillsLower.some((us) => us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us))
+      skill =>
+        !userSkillsLower.some(
+          us =>
+            us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us)
+        )
     );
     if (missingSkills.length > 0) {
-      recommendations.push(`Consider developing these skills: ${missingSkills.slice(0, 3).join(", ")}`);
+      recommendations.push(
+        `Consider developing these skills: ${missingSkills.slice(0, 3).join(", ")}`
+      );
     }
     recommendations.push("Quantify achievements with metrics and results");
     recommendations.push("Use action verbs and industry-specific terminology");
@@ -306,8 +334,14 @@ export async function generateSkillGapAnalysis(
 }> {
   let gaps: string[] = [];
   try {
-    const userSkillsLower = userSkills.map((s) => s.toLowerCase());
-    gaps = requiredSkills.filter((skill) => !userSkillsLower.some((us) => us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us)));
+    const userSkillsLower = userSkills.map(s => s.toLowerCase());
+    gaps = requiredSkills.filter(
+      skill =>
+        !userSkillsLower.some(
+          us =>
+            us.includes(skill.toLowerCase()) || skill.toLowerCase().includes(us)
+        )
+    );
 
     const response = await invokeLLM({
       messages: [
@@ -335,7 +369,10 @@ export async function generateSkillGapAnalysis(
                   type: "object",
                   properties: {
                     skill: { type: "string" },
-                    priority: { type: "string", enum: ["high", "medium", "low"] },
+                    priority: {
+                      type: "string",
+                      enum: ["high", "medium", "low"],
+                    },
                     resources: { type: "array", items: { type: "string" } },
                   },
                   required: ["skill", "priority", "resources"],
@@ -369,7 +406,7 @@ export async function generateSkillGapAnalysis(
     const gapsList = gaps || [];
     return {
       gaps: gapsList,
-      recommendations: gapsList.map((gap) => ({
+      recommendations: gapsList.map(gap => ({
         skill: gap,
         priority: "high" as const,
         resources: ["Udemy", "Coursera", "LinkedIn Learning"],
diff --git a/server/services/engagementService.ts b/server/services/engagementService.ts
index 765bfd7..aa6aef9 100644
--- a/server/services/engagementService.ts
+++ b/server/services/engagementService.ts
@@ -35,23 +35,56 @@ interface EngagementScore {
 /**
  * Calculate user engagement score based on activity
  */
-export async function calculateEngagementScore(activity: UserActivity): Promise<EngagementScore> {
+export async function calculateEngagementScore(
+  activity: UserActivity
+): Promise<EngagementScore> {
   // Profile completion score (0-20)
-  const profileScore = Math.min(20, (activity.profileUpdates + activity.skillsAdded + activity.externalProfilesLinked) * 2);
+  const profileScore = Math.min(
+    20,
+    (activity.profileUpdates +
+      activity.skillsAdded +
+      activity.externalProfilesLinked) *
+      2
+  );
 
   // Activity level score (0-20)
-  const activityScore = Math.min(20, (activity.jobsApplied + activity.connectionsCreated + activity.messagesExchanged) * 1.5);
+  const activityScore = Math.min(
+    20,
+    (activity.jobsApplied +
+      activity.connectionsCreated +
+      activity.messagesExchanged) *
+      1.5
+  );
 
   // Interview performance score (0-20)
-  const interviewScore = activity.interviewsCompleted > 0 ? Math.min(20, (activity.interviewsAverage / 10) * 20) : 0;
+  const interviewScore =
+    activity.interviewsCompleted > 0
+      ? Math.min(20, (activity.interviewsAverage / 10) * 20)
+      : 0;
 
   // Learning progress score (0-20)
-  const learningScore = activity.coursesCompleted > 0 ? Math.min(20, (activity.coursesCompleted / Math.max(activity.coursesEnrolled, 1)) * 20) : 0;
+  const learningScore =
+    activity.coursesCompleted > 0
+      ? Math.min(
+          20,
+          (activity.coursesCompleted / Math.max(activity.coursesEnrolled, 1)) *
+            20
+        )
+      : 0;
 
   // Networking score (0-20)
-  const networkingScore = Math.min(20, (activity.connectionsCreated + activity.messagesExchanged) * 1.5);
+  const networkingScore = Math.min(
+    20,
+    (activity.connectionsCreated + activity.messagesExchanged) * 1.5
+  );
 
-  const overallScore = Math.round(profileScore + activityScore + interviewScore + learningScore + networkingScore);
+  const overallScore = Math.round(
+    profileScore +
+      activityScore +
+      interviewScore +
+      learningScore +
+      networkingScore
+  );
 
   const recommendations: string[] = [];
   const nextSteps: string[] = [];
@@ -139,7 +172,12 @@ export async function generatePersonalizedRecommendations(
         },
         {
           role: "user",
-          content: `User: ${userProfile.name}\nSkills: ${userProfile.skills.join(", ")}\nInterview Average: ${userProfile.interviewScores.length > 0 ? (userProfile.interviewScores.reduce((a, b) => a + b) / userProfile.interviewScores.length).toFixed(1) : "N/A"}\nTop Job Matches: ${jobMatches.slice(0, 3).map((j) => j.title).join(", ")}\n\nProvide: skillsToLearn (array), coursesRecommended (array), networkingTips (array), interviewTips (array)`,
+          content: `User: ${userProfile.name}\nSkills: ${userProfile.skills.join(", ")}\nInterview Average: ${userProfile.interviewScores.length > 0 ? (userProfile.interviewScores.reduce((a, b) => a + b) / userProfile.interviewScores.length).toFixed(1) : "N/A"}\nTop Job Matches: ${jobMatches
+            .slice(0, 3)
+            .map(j => j.title)
+            .join(
+              ", "
+            )}\n\nProvide: skillsToLearn (array), coursesRecommended (array), networkingTips (array), interviewTips (array)`,
         },
       ],
       response_format: {
@@ -155,7 +193,12 @@ export async function generatePersonalizedRecommendations(
               networkingTips: { type: "array", items: { type: "string" } },
               interviewTips: { type: "array", items: { type: "string" } },
             },
-            required: ["skillsToLearn", "coursesRecommended", "networkingTips", "interviewTips"],
+            required: [
+              "skillsToLearn",
+              "coursesRecommended",
+              "networkingTips",
+              "interviewTips",
+            ],
             additionalProperties: false,
           },
         },
@@ -231,7 +274,7 @@ export async function analyzePersonality(
         },
         {
           role: "user",
-          content: `Interview Responses:\n${interviewResponses.map((r) => `Q: ${r.question}\nA: ${r.answer}`).join("\n\n")}\n\nProvide: personality (with communicationStyle, strengths, areasForImprovement, recommendedRoles), cultureFit (array with company, fitScore 0-100, reason)`,
+          content: `Interview Responses:\n${interviewResponses.map(r => `Q: ${r.question}\nA: ${r.answer}`).join("\n\n")}\n\nProvide: personality (with communicationStyle, strengths, areasForImprovement, recommendedRoles), cultureFit (array with company, fitScore 0-100, reason)`,
         },
       ],
       response_format: {
@@ -247,10 +290,21 @@ export async function analyzePersonality(
                 properties: {
                   communicationStyle: { type: "string" },
                   strengths: { type: "array", items: { type: "string" } },
-                  areasForImprovement: { type: "array", items: { type: "string" } },
-                  recommendedRoles: { type: "array", items: { type: "string" } },
+                  areasForImprovement: {
+                    type: "array",
+                    items: { type: "string" },
+                  },
+                  recommendedRoles: {
+                    type: "array",
+                    items: { type: "string" },
+                  },
                 },
-                required: ["communicationStyle", "strengths", "areasForImprovement", "recommendedRoles"],
+                required: [
+                  "communicationStyle",
+                  "strengths",
+                  "areasForImprovement",
+                  "recommendedRoles",
+                ],
                 additionalProperties: false,
               },
               cultureFit: {
@@ -354,7 +408,13 @@ export async function predictDreamJob(userProfile: {
               estimatedTimeline: { type: "string" },
               actionPlan: { type: "array", items: { type: "string" } },
             },
-            required: ["dreamJobTitle", "dreamCompany", "requiredSkills", "estimatedTimeline", "actionPlan"],
+            required: [
+              "dreamJobTitle",
+              "dreamCompany",
+              "requiredSkills",
+              "estimatedTimeline",
+              "actionPlan",
+            ],
             additionalProperties: false,
           },
         },
diff --git a/server/services/interviewService.ts b/server/services/interviewService.ts
index 35de897..a12c9eb 100644
--- a/server/services/interviewService.ts
+++ b/server/services/interviewService.ts
@@ -92,7 +92,9 @@ export async function generateBehavioralQuestion(
   difficulty: "easy" | "medium" | "hard",
   topic?: string
 ): Promise<InterviewQuestion> {
-  const selectedTopic = topic || BEHAVIORAL_TOPICS[Math.floor(Math.random() * BEHAVIORAL_TOPICS.length)];
+  const selectedTopic =
+    topic ||
+    BEHAVIORAL_TOPICS[Math.floor(Math.random() * BEHAVIORAL_TOPICS.length)];
 
   const response = await invokeLLM({
     messages: [
@@ -149,9 +151,17 @@ Return a JSON object with:
       id: `behavioral_${Date.now()}`,
       type: "behavioral",
       difficulty,
-      question: parsed.question || "Tell me about a time you had to work with a difficult team member.",
-      expectedKeywords: parsed.expectedKeywords || ["situation", "task", "action", "result"],
-      scoringGuidance: parsed.scoringGuidance || "Look for clear STAR method usage.",
+      question:
+        parsed.question ||
+        "Tell me about a time you had to work with a difficult team member.",
+      expectedKeywords: parsed.expectedKeywords || [
+        "situation",
+        "task",
+        "action",
+        "result",
+      ],
+      scoringGuidance:
+        parsed.scoringGuidance || "Look for clear STAR method usage.",
     };
   } catch (error) {
     console.error("Failed to generate behavioral question:", error);
@@ -159,9 +169,11 @@ Return a JSON object with:
       id: `behavioral_${Date.now()}`,
       type: "behavioral",
       difficulty,
-      question: "Tell me about a time you had to overcome a significant challenge at work.",
+      question:
+        "Tell me about a time you had to overcome a significant challenge at work.",
       expectedKeywords: ["situation", "task", "action", "result", "outcome"],
-      scoringGuidance: "Evaluate clarity of STAR method usage and relevance of example.",
+      scoringGuidance:
+        "Evaluate clarity of STAR method usage and relevance of example.",
     };
   }
 }
@@ -173,7 +185,9 @@ export async function generateTechnicalQuestion(
   difficulty: "easy" | "medium" | "hard",
   topic?: string
 ): Promise<InterviewQuestion> {
-  const selectedTopic = topic || TECHNICAL_TOPICS[Math.floor(Math.random() * TECHNICAL_TOPICS.length)];
+  const selectedTopic =
+    topic ||
+    TECHNICAL_TOPICS[Math.floor(Math.random() * TECHNICAL_TOPICS.length)];
 
   const response = await invokeLLM({
     messages: [
@@ -228,9 +242,17 @@ Return a JSON object with:
       id: `technical_${Date.now()}`,
       type: "technical",
       difficulty,
-      question: parsed.question || "Implement a function to reverse a linked list.",
-      expectedKeywords: parsed.expectedKeywords || ["linked list", "pointer", "iteration", "O(n)"],
-      scoringGuidance: parsed.scoringGuidance || "Evaluate correctness, efficiency, and explanation.",
+      question:
+        parsed.question || "Implement a function to reverse a linked list.",
+      expectedKeywords: parsed.expectedKeywords || [
+        "linked list",
+        "pointer",
+        "iteration",
+        "O(n)",
+      ],
+      scoringGuidance:
+        parsed.scoringGuidance ||
+        "Evaluate correctness, efficiency, and explanation.",
     };
   } catch (error) {
     console.error("Failed to generate technical question:", error);
@@ -239,8 +261,15 @@ Return a JSON object with:
       type: "technical",
       difficulty,
       question: "How would you design a cache system with LRU eviction?",
-      expectedKeywords: ["cache", "LRU", "hash map", "doubly linked list", "O(1)"],
-      scoringGuidance: "Evaluate system design thinking and algorithmic knowledge.",
+      expectedKeywords: [
+        "cache",
+        "LRU",
+        "hash map",
+        "doubly linked list",
+        "O(1)",
+      ],
+      scoringGuidance:
+        "Evaluate system design thinking and algorithmic knowledge.",
     };
   }
 }
@@ -252,7 +281,9 @@ export async function generateCaseStudyQuestion(
   difficulty: "easy" | "medium" | "hard",
   topic?: string
 ): Promise<InterviewQuestion> {
-  const selectedTopic = topic || CASE_STUDY_TOPICS[Math.floor(Math.random() * CASE_STUDY_TOPICS.length)];
+  const selectedTopic =
+    topic ||
+    CASE_STUDY_TOPICS[Math.floor(Math.random() * CASE_STUDY_TOPICS.length)];
 
   const response = await invokeLLM({
     messages: [
@@ -307,9 +338,19 @@ Return a JSON object with:
       id: `case_study_${Date.now()}`,
       type: "case_study",
       difficulty,
-      question: parsed.question || "How would you increase revenue for a struggling e-commerce platform?",
-      expectedKeywords: parsed.expectedKeywords || ["revenue", "cost", "strategy", "market", "data"],
-      scoringGuidance: parsed.scoringGuidance || "Evaluate analytical thinking and business acumen.",
+      question:
+        parsed.question ||
+        "How would you increase revenue for a struggling e-commerce platform?",
+      expectedKeywords: parsed.expectedKeywords || [
+        "revenue",
+        "cost",
+        "strategy",
+        "market",
+        "data",
+      ],
+      scoringGuidance:
+        parsed.scoringGuidance ||
+        "Evaluate analytical thinking and business acumen.",
     };
   } catch (error) {
     console.error("Failed to generate case study question:", error);
@@ -318,7 +359,14 @@ Return a JSON object with:
       type: "case_study",
       difficulty,
       question: "How would you estimate the market size for a new product?",
-      expectedKeywords: ["market size", "TAM", "SAM", "SOM", "bottom-up", "top-down"],
+      expectedKeywords: [
+        "market size",
+        "TAM",
+        "SAM",
+        "SOM",
+        "bottom-up",
+        "top-down",
+      ],
       scoringGuidance: "Evaluate estimation techniques and business logic.",
     };
   }
@@ -442,14 +490,22 @@ Evaluate this answer using the rubric above.`,
 /**
  * Generate comprehensive interview feedback for a complete session
  */
-export async function generateSessionFeedback(session: InterviewSession): Promise<{
+export async function generateSessionFeedback(
+  session: InterviewSession
+): Promise<{
   overallScore: number;
   strengths: string[];
   improvements: string[];
   recommendations: string[];
   nextSteps: string[];
 }> {
-  const averageScore = session.scores.length > 0 ? Math.round(session.scores.reduce((sum, s) => sum + s.score, 0) / session.scores.length) : 0;
+  const averageScore =
+    session.scores.length > 0
+      ? Math.round(
+          session.scores.reduce((sum, s) => sum + s.score, 0) /
+            session.scores.length
+        )
+      : 0;
 
   const response = await invokeLLM({
     messages: [
@@ -502,7 +558,12 @@ Provide comprehensive feedback on this interview performance.`,
               items: { type: "string" },
             },
           },
-          required: ["strengths", "improvements", "recommendations", "nextSteps"],
+          required: [
+            "strengths",
+            "improvements",
+            "recommendations",
+            "nextSteps",
+          ],
           additionalProperties: false,
         },
       },
diff --git a/server/services/linkedinService.ts b/server/services/linkedinService.ts
index d453dfe..78297ff 100644
--- a/server/services/linkedinService.ts
+++ b/server/services/linkedinService.ts
@@ -46,20 +46,28 @@ export async function getLinkedInAuthUrl(redirectUri: string): Promise<string> {
 /**
  * Exchange authorization code for access token
  */
-export async function getLinkedInAccessToken(code: string, redirectUri: string): Promise<string> {
+export async function getLinkedInAccessToken(
+  code: string,
+  redirectUri: string
+): Promise<string> {
   try {
     const clientId = process.env.LINKEDIN_CLIENT_ID || "YOUR_CLIENT_ID";
-    const clientSecret = process.env.LINKEDIN_CLIENT_SECRET || "YOUR_CLIENT_SECRET";
+    const clientSecret =
+      process.env.LINKEDIN_CLIENT_SECRET || "YOUR_CLIENT_SECRET";
 
-    const response = await axios.post("https://www.linkedin.com/oauth/v2/accessToken", null, {
-      params: {
-        grant_type: "authorization_code",
-        code,
-        redirect_uri: redirectUri,
-        client_id: clientId,
-        client_secret: clientSecret,
-      },
-    });
+    const response = await axios.post(
+      "https://www.linkedin.com/oauth/v2/accessToken",
+      null,
+      {
+        params: {
+          grant_type: "authorization_code",
+          code,
+          redirect_uri: redirectUri,
+          client_id: clientId,
+          client_secret: clientSecret,
+        },
+      }
+    );
 
     return response.data.access_token;
   } catch (error) {
@@ -71,7 +79,9 @@ export async function getLinkedInAccessToken(code: string, redirectUri: string):
 /**
  * Fetch LinkedIn profile data using access token
  */
-export async function fetchLinkedInProfile(accessToken: string): Promise<LinkedInProfile> {
+export async function fetchLinkedInProfile(
+  accessToken: string
+): Promise<LinkedInProfile> {
   try {
     // Fetch basic profile info
     const profileResponse = await axios.get("https://api.linkedin.com/v2/me", {
@@ -82,12 +92,15 @@ export async function fetchLinkedInProfile(accessToken: string): Promise<LinkedI
     });
 
     // Fetch email
-    const emailResponse = await axios.get("https://api.linkedin.com/v2/emailAddress?q=members&projection=(elements*(handle~))", {
-      headers: {
-        Authorization: `Bearer ${accessToken}`,
-        "Content-Type": "application/json",
-      },
-    });
+    const emailResponse = await axios.get(
+      "https://api.linkedin.com/v2/emailAddress?q=members&projection=(elements*(handle~))",
+      {
+        headers: {
+          Authorization: `Bearer ${accessToken}`,
+          "Content-Type": "application/json",
+        },
+      }
+    );
 
     // Fetch experience
     const experienceResponse = await axios.get(
@@ -112,33 +125,45 @@ export async function fetchLinkedInProfile(accessToken: string): Promise<LinkedI
     );
 
     // Fetch skills
-    const skillsResponse = await axios.get("https://api.linkedin.com/v2/skills?q=member", {
-      headers: {
-        Authorization: `Bearer ${accessToken}`,
-        "Content-Type": "application/json",
-      },
-    });
+    const skillsResponse = await axios.get(
+      "https://api.linkedin.com/v2/skills?q=member",
+      {
+        headers: {
+          Authorization: `Bearer ${accessToken}`,
+          "Content-Type": "application/json",
+        },
+      }
+    );
 
     const profile: LinkedInProfile = {
       firstName: profileResponse.data.localizedFirstName || "",
       lastName: profileResponse.data.localizedLastName || "",
       headline: profileResponse.data.localizedHeadline || "",
       summary: "",
-      experience: experienceResponse.data.elements?.map((exp: any) => ({
-        title: exp.title || "",
-        company: exp.company?.localizedName || "",
-        startDate: exp.startDate ? `${exp.startDate.year}-${exp.startDate.month}` : "",
-        endDate: exp.endDate ? `${exp.endDate.year}-${exp.endDate.month}` : "",
-        description: exp.description || "",
-      })) || [],
-      education: educationResponse.data.elements?.map((edu: any) => ({
-        school: edu.schoolName?.localizedName || "",
-        degree: edu.degree?.localizedName || "",
-        fieldOfStudy: edu.fieldOfStudy?.localizedName || "",
-        startDate: edu.startDate ? `${edu.startDate.year}` : "",
-        endDate: edu.endDate ? `${edu.endDate.year}` : "",
-      })) || [],
-      skills: skillsResponse.data.elements?.map((skill: any) => skill.name?.localizedName || "") || [],
+      experience:
+        experienceResponse.data.elements?.map((exp: any) => ({
+          title: exp.title || "",
+          company: exp.company?.localizedName || "",
+          startDate: exp.startDate
+            ? `${exp.startDate.year}-${exp.startDate.month}`
+            : "",
+          endDate: exp.endDate
+            ? `${exp.endDate.year}-${exp.endDate.month}`
+            : "",
+          description: exp.description || "",
+        })) || [],
+      education:
+        educationResponse.data.elements?.map((edu: any) => ({
+          school: edu.schoolName?.localizedName || "",
+          degree: edu.degree?.localizedName || "",
+          fieldOfStudy: edu.fieldOfStudy?.localizedName || "",
+          startDate: edu.startDate ? `${edu.startDate.year}` : "",
+          endDate: edu.endDate ? `${edu.endDate.year}` : "",
+        })) || [],
+      skills:
+        skillsResponse.data.elements?.map(
+          (skill: any) => skill.name?.localizedName || ""
+        ) || [],
       endorsements: {},
       profileUrl: `https://www.linkedin.com/in/${profileResponse.data.id}`,
     };
@@ -153,7 +178,9 @@ export async function fetchLinkedInProfile(accessToken: string): Promise<LinkedI
 /**
  * Extract and normalize LinkedIn profile data for SprintWork
  */
-export async function normalizeLinkedInProfile(profile: LinkedInProfile): Promise<{
+export async function normalizeLinkedInProfile(
+  profile: LinkedInProfile
+): Promise<{
   bio: string;
   skills: string[];
   experience: string;
@@ -163,11 +190,17 @@ export async function normalizeLinkedInProfile(profile: LinkedInProfile): Promis
   const skillsList = profile.skills.slice(0, 10);
 
   const experienceText = profile.experience
-    .map((exp) => `${exp.title} at ${exp.company} (${exp.startDate} - ${exp.endDate || "Present"})`)
+    .map(
+      exp =>
+        `${exp.title} at ${exp.company} (${exp.startDate} - ${exp.endDate || "Present"})`
+    )
     .join("\n");
 
   const educationText = profile.education
-    .map((edu) => `${edu.degree} in ${edu.fieldOfStudy} from ${edu.school} (${edu.startDate}-${edu.endDate})`)
+    .map(
+      edu =>
+        `${edu.degree} in ${edu.fieldOfStudy} from ${edu.school} (${edu.startDate}-${edu.endDate})`
+    )
     .join("\n");
 
   return {
@@ -208,7 +241,9 @@ export async function generateProfileSummary(linkedInData: {
     if (typeof content === "string") {
       return content;
     } else if (Array.isArray(content)) {
-      return content.map((c: any) => c.text || "").join("") || linkedInData.summary;
+      return (
+        content.map((c: any) => c.text || "").join("") || linkedInData.summary
+      );
     }
     return linkedInData.summary;
   } catch (error) {
@@ -271,7 +306,7 @@ export async function analyzeLinkedInSkills(skills: string[]): Promise<{
     } else if (Array.isArray(content)) {
       contentStr = content.map((c: any) => c.text || "").join("");
     }
-    
+
     if (contentStr) {
       try {
         const parsed = JSON.parse(contentStr);
diff --git a/server/services/mlService.ts b/server/services/mlService.ts
index 1107242..531ad48 100644
--- a/server/services/mlService.ts
+++ b/server/services/mlService.ts
@@ -58,20 +58,28 @@ function getEditDistance(s1: string, s2: string): number {
 /**
  * Calculate skill match score
  */
-export function calculateSkillMatchScore(userSkills: string[], jobRequiredSkills: string[]): { matchScore: number; matched: string[]; gap: string[] } {
-  const userSkillsLower = new Set(userSkills.map((s) => s.toLowerCase()));
-  const jobRequiredSkillsLower = new Set(jobRequiredSkills.map((s) => s.toLowerCase()));
+export function calculateSkillMatchScore(
+  userSkills: string[],
+  jobRequiredSkills: string[]
+): { matchScore: number; matched: string[]; gap: string[] } {
+  const userSkillsLower = new Set(userSkills.map(s => s.toLowerCase()));
+  const jobRequiredSkillsLower = new Set(
+    jobRequiredSkills.map(s => s.toLowerCase())
+  );
 
   const userSkillsArray = Array.from(userSkillsLower);
   const jobSkillsArray = Array.from(jobRequiredSkillsLower);
 
-  const intersection = new Set(userSkillsArray.filter(skill => jobRequiredSkillsLower.has(skill)));
+  const intersection = new Set(
+    userSkillsArray.filter(skill => jobRequiredSkillsLower.has(skill))
+  );
   const union = new Set([...userSkillsArray, ...jobSkillsArray]);
 
   const matched = Array.from(intersection);
   const gap = jobSkillsArray.filter(skill => !userSkillsLower.has(skill));
 
-  const matchScore = union.size === 0 ? 0 : (intersection.size / union.size) * 100;
+  const matchScore =
+    union.size === 0 ? 0 : (intersection.size / union.size) * 100;
 
   return { matchScore, matched, gap };
 }
@@ -79,7 +87,10 @@ export function calculateSkillMatchScore(userSkills: string[], jobRequiredSkills
 /**
  * Extract skills from job description using keyword matching
  */
-export function extractSkillsFromJobDescription(description: string, requirements: string): string[] {
+export function extractSkillsFromJobDescription(
+  description: string,
+  requirements: string
+): string[] {
   const commonSkills = [
     "JavaScript",
     "Python",
@@ -141,7 +152,10 @@ export function extractSkillsFromJobDescription(description: string, requirement
 /**
  * Calculate location match score
  */
-export function calculateLocationMatchScore(userLocations: string[], jobLocation: string): number {
+export function calculateLocationMatchScore(
+  userLocations: string[],
+  jobLocation: string
+): number {
   if (!jobLocation) return 100; // Remote-friendly
 
   const jobLocationLower = jobLocation.toLowerCase();
@@ -150,14 +164,21 @@ export function calculateLocationMatchScore(userLocations: string[], jobLocation
     const userLocationLower = userLocation.toLowerCase();
 
     if (userLocationLower === jobLocationLower) return 100;
-    if (userLocationLower.includes("remote") || jobLocationLower.includes("remote")) return 90;
+    if (
+      userLocationLower.includes("remote") ||
+      jobLocationLower.includes("remote")
+    )
+      return 90;
 
     // Check if in same state/country
     const userParts = userLocationLower.split(",");
     const jobParts = jobLocationLower.split(",");
 
     if (userParts.length > 0 && jobParts.length > 0) {
-      if (userParts[userParts.length - 1].trim() === jobParts[jobParts.length - 1].trim()) {
+      if (
+        userParts[userParts.length - 1].trim() ===
+        jobParts[jobParts.length - 1].trim()
+      ) {
         return 70; // Same country/state
       }
     }
@@ -169,7 +190,10 @@ export function calculateLocationMatchScore(userLocations: string[], jobLocation
 /**
  * Calculate salary match score
  */
-export function calculateSalaryMatchScore(userExpectation: number | null, jobSalaryRange: string): number {
+export function calculateSalaryMatchScore(
+  userExpectation: number | null,
+  jobSalaryRange: string
+): number {
   if (!userExpectation || !jobSalaryRange) return 50;
 
   // Parse salary range (e.g., "$100,000 - $150,000")
@@ -192,7 +216,10 @@ export function calculateSalaryMatchScore(userExpectation: number | null, jobSal
 /**
  * Calculate experience level match
  */
-export function calculateExperienceMatchScore(userYearsExperience: number, jobRequirements: string): number {
+export function calculateExperienceMatchScore(
+  userYearsExperience: number,
+  jobRequirements: string
+): number {
   // Extract required years from job requirements
   const yearsMatch = jobRequirements.match(/(\d+)\+?\s*years?/i);
 
@@ -210,18 +237,38 @@ export function calculateExperienceMatchScore(userYearsExperience: number, jobRe
 /**
  * Comprehensive job matching algorithm
  */
-export function matchJobToProfile(userProfile: any, userSkills: string[], job: any): JobMatchResult {
+export function matchJobToProfile(
+  userProfile: any,
+  userSkills: string[],
+  job: any
+): JobMatchResult {
   // Extract skills from job
-  const jobSkills = extractSkillsFromJobDescription(job.description || "", job.requirements || "");
+  const jobSkills = extractSkillsFromJobDescription(
+    job.description || "",
+    job.requirements || ""
+  );
 
   // Calculate individual scores
   const skillScore = calculateSkillMatchScore(userSkills, jobSkills);
-  const locationScore = calculateLocationMatchScore(userProfile.desiredLocations || [], job.location || "");
-  const salaryScore = calculateSalaryMatchScore(userProfile.salaryExpectation, job.salary || "");
-  const experienceScore = calculateExperienceMatchScore(userProfile.yearsExperience || 0, job.requirements || "");
+  const locationScore = calculateLocationMatchScore(
+    userProfile.desiredLocations || [],
+    job.location || ""
+  );
+  const salaryScore = calculateSalaryMatchScore(
+    userProfile.salaryExpectation,
+    job.salary || ""
+  );
+  const experienceScore = calculateExperienceMatchScore(
+    userProfile.yearsExperience || 0,
+    job.requirements || ""
+  );
 
   // Weighted average (skills: 40%, location: 20%, salary: 20%, experience: 20%)
-  const overallScore = skillScore.matchScore * 0.4 + locationScore * 0.2 + salaryScore * 0.2 + experienceScore * 0.2;
+  const overallScore =
+    skillScore.matchScore * 0.4 +
+    locationScore * 0.2 +
+    salaryScore * 0.2 +
+    experienceScore * 0.2;
 
   // Generate match reason
   let matchReason = "Good match based on ";
@@ -246,28 +293,44 @@ export function matchJobToProfile(userProfile: any, userSkills: string[], job: a
 /**
  * Batch job matching for a user against multiple jobs
  */
-export function matchUserToJobs(userProfile: any, userSkills: string[], jobs: any[]): JobMatchResult[] {
+export function matchUserToJobs(
+  userProfile: any,
+  userSkills: string[],
+  jobs: any[]
+): JobMatchResult[] {
   return jobs
-    .map((job) => matchJobToProfile(userProfile, userSkills, job))
+    .map(job => matchJobToProfile(userProfile, userSkills, job))
     .sort((a, b) => b.matchScore - a.matchScore);
 }
 
 /**
  * Personalized job recommendations based on user profile
  */
-export function generatePersonalizedRecommendations(userProfile: any, userSkills: string[], allJobs: any[], topN: number = 10): JobMatchResult[] {
+export function generatePersonalizedRecommendations(
+  userProfile: any,
+  userSkills: string[],
+  allJobs: any[],
+  topN: number = 10
+): JobMatchResult[] {
   const matches = matchUserToJobs(userProfile, userSkills, allJobs);
-  return matches.filter((m) => m.matchScore >= 50).slice(0, topN);
+  return matches.filter(m => m.matchScore >= 50).slice(0, topN);
 }
 
 /**
  * Trending skills analysis
  */
-export function analyzeTrendingSkills(allJobs: any[]): { skill: string; frequency: number; trend: "rising" | "stable" | "declining" }[] {
+export function analyzeTrendingSkills(allJobs: any[]): {
+  skill: string;
+  frequency: number;
+  trend: "rising" | "stable" | "declining";
+}[] {
   const skillFrequency: Record<string, number> = {};
 
   for (const job of allJobs) {
-    const skills = extractSkillsFromJobDescription(job.description || "", job.requirements || "");
+    const skills = extractSkillsFromJobDescription(
+      job.description || "",
+      job.requirements || ""
+    );
     for (const skill of skills) {
       skillFrequency[skill] = (skillFrequency[skill] || 0) + 1;
     }
@@ -277,7 +340,11 @@ export function analyzeTrendingSkills(allJobs: any[]): { skill: string; frequenc
     .map(([skill, frequency]) => ({
       skill,
       frequency,
-      trend: (frequency > allJobs.length * 0.3 ? "rising" : frequency > allJobs.length * 0.1 ? "stable" : "declining") as "rising" | "stable" | "declining",
+      trend: (frequency > allJobs.length * 0.3
+        ? "rising"
+        : frequency > allJobs.length * 0.1
+          ? "stable"
+          : "declining") as "rising" | "stable" | "declining",
     }))
     .sort((a, b) => b.frequency - a.frequency);
 }
diff --git a/server/services/oauthProviders.ts b/server/services/oauthProviders.ts
index 0e93809..3dddc51 100644
--- a/server/services/oauthProviders.ts
+++ b/server/services/oauthProviders.ts
@@ -22,11 +22,16 @@ export interface OAuthProfile {
 /**
  * Google OAuth Profile Extraction
  */
-export async function getGoogleProfile(accessToken: string): Promise<OAuthProfile> {
+export async function getGoogleProfile(
+  accessToken: string
+): Promise<OAuthProfile> {
   try {
-    const response = await axios.get("https://www.googleapis.com/oauth2/v2/userinfo", {
-      headers: { Authorization: `Bearer ${accessToken}` },
-    });
+    const response = await axios.get(
+      "https://www.googleapis.com/oauth2/v2/userinfo",
+      {
+        headers: { Authorization: `Bearer ${accessToken}` },
+      }
+    );
 
     return {
       id: response.data.id,
@@ -44,7 +49,9 @@ export async function getGoogleProfile(accessToken: string): Promise<OAuthProfil
 /**
  * GitHub OAuth Profile Extraction
  */
-export async function getGitHubProfile(accessToken: string): Promise<OAuthProfile> {
+export async function getGitHubProfile(
+  accessToken: string
+): Promise<OAuthProfile> {
   try {
     // Get user info
     const userResponse = await axios.get("https://api.github.com/user", {
@@ -52,9 +59,12 @@ export async function getGitHubProfile(accessToken: string): Promise<OAuthProfil
     });
 
     // Get user repos to extract skills
-    const reposResponse = await axios.get("https://api.github.com/user/repos?per_page=50", {
-      headers: { Authorization: `Bearer ${accessToken}` },
-    });
+    const reposResponse = await axios.get(
+      "https://api.github.com/user/repos?per_page=50",
+      {
+        headers: { Authorization: `Bearer ${accessToken}` },
+      }
+    );
 
     // Extract languages from repos
     const languages = new Set<string>();
@@ -84,7 +94,9 @@ export async function getGitHubProfile(accessToken: string): Promise<OAuthProfil
 /**
  * LinkedIn OAuth Profile Extraction
  */
-export async function getLinkedInProfile(accessToken: string): Promise<OAuthProfile> {
+export async function getLinkedInProfile(
+  accessToken: string
+): Promise<OAuthProfile> {
   try {
     // Get profile info
     const profileResponse = await axios.get("https://api.linkedin.com/v2/me", {
@@ -105,7 +117,8 @@ export async function getLinkedInProfile(accessToken: string): Promise<OAuthProf
       }
     );
 
-    const email = emailResponse.data.elements?.[0]?.["handle~"]?.emailAddress || "";
+    const email =
+      emailResponse.data.elements?.[0]?.["handle~"]?.emailAddress || "";
 
     // Get profile picture
     const pictureResponse = await axios.get(
@@ -162,7 +175,10 @@ export function getLinkedInAuthUrl(redirectUri: string, state: string): string {
 /**
  * Exchange authorization codes for access tokens
  */
-export async function exchangeGoogleCode(code: string, redirectUri: string): Promise<string> {
+export async function exchangeGoogleCode(
+  code: string,
+  redirectUri: string
+): Promise<string> {
   try {
     const response = await axios.post("https://oauth2.googleapis.com/token", {
       code,
@@ -198,17 +214,24 @@ export async function exchangeGitHubCode(code: string): Promise<string> {
   }
 }
 
-export async function exchangeLinkedInCode(code: string, redirectUri: string): Promise<string> {
+export async function exchangeLinkedInCode(
+  code: string,
+  redirectUri: string
+): Promise<string> {
   try {
-    const response = await axios.post("https://www.linkedin.com/oauth/v2/accessToken", null, {
-      params: {
-        grant_type: "authorization_code",
-        code,
-        redirect_uri: redirectUri,
-        client_id: process.env.LINKEDIN_CLIENT_ID,
-        client_secret: process.env.LINKEDIN_CLIENT_SECRET,
-      },
-    });
+    const response = await axios.post(
+      "https://www.linkedin.com/oauth/v2/accessToken",
+      null,
+      {
+        params: {
+          grant_type: "authorization_code",
+          code,
+          redirect_uri: redirectUri,
+          client_id: process.env.LINKEDIN_CLIENT_ID,
+          client_secret: process.env.LINKEDIN_CLIENT_SECRET,
+        },
+      }
+    );
 
     return response.data.access_token;
   } catch (error) {
diff --git a/server/services/scrapingService.ts b/server/services/scrapingService.ts
index a014226..ce47aba 100644
--- a/server/services/scrapingService.ts
+++ b/server/services/scrapingService.ts
@@ -24,7 +24,10 @@ export interface ScrapedJob {
  * Simulate Indeed job scraping
  * In production, use Indeed's official API or a scraping library with proper headers
  */
-export async function scrapeIndeedJobs(searchQuery: string, location: string): Promise<ScrapedJob[]> {
+export async function scrapeIndeedJobs(
+  searchQuery: string,
+  location: string
+): Promise<ScrapedJob[]> {
   // This is a mock implementation
   // In production, you would use Puppeteer, Cheerio, or Indeed's official API
   const mockJobs: ScrapedJob[] = [
@@ -64,7 +67,10 @@ export async function scrapeIndeedJobs(searchQuery: string, location: string): P
  * Simulate LinkedIn job scraping
  * Note: LinkedIn's ToS generally prohibit scraping; use official API when available
  */
-export async function scrapeLinkedInJobs(searchQuery: string, location: string): Promise<ScrapedJob[]> {
+export async function scrapeLinkedInJobs(
+  searchQuery: string,
+  location: string
+): Promise<ScrapedJob[]> {
   // Mock implementation
   const mockJobs: ScrapedJob[] = [
     {
@@ -101,7 +107,9 @@ export async function scrapeLinkedInJobs(searchQuery: string, location: string):
 /**
  * Simulate Upwork freelance job scraping
  */
-export async function scrapeUpworkJobs(searchQuery: string): Promise<ScrapedJob[]> {
+export async function scrapeUpworkJobs(
+  searchQuery: string
+): Promise<ScrapedJob[]> {
   // Mock implementation
   const mockJobs: ScrapedJob[] = [
     {
@@ -138,7 +146,10 @@ export async function scrapeUpworkJobs(searchQuery: string): Promise<ScrapedJob[
 /**
  * Aggregate jobs from all sources
  */
-export async function aggregateJobsFromAllSources(searchQuery: string, location: string): Promise<ScrapedJob[]> {
+export async function aggregateJobsFromAllSources(
+  searchQuery: string,
+  location: string
+): Promise<ScrapedJob[]> {
   try {
     const [indeedJobs, linkedInJobs, upworkJobs] = await Promise.all([
       scrapeIndeedJobs(searchQuery, location),
@@ -208,9 +219,14 @@ export async function saveScrapedJobs(jobs: ScrapedJob[]): Promise<number> {
 /**
  * Full job scraping and aggregation pipeline
  */
-export async function runJobScrapingPipeline(searchQuery: string, location: string): Promise<{ success: boolean; jobsScraped: number; jobsSaved: number }> {
+export async function runJobScrapingPipeline(
+  searchQuery: string,
+  location: string
+): Promise<{ success: boolean; jobsScraped: number; jobsSaved: number }> {
   try {
-    console.log(`Starting job scraping pipeline for: ${searchQuery} in ${location}`);
+    console.log(
+      `Starting job scraping pipeline for: ${searchQuery} in ${location}`
+    );
 
     // Aggregate jobs from all sources
     const allJobs = await aggregateJobsFromAllSources(searchQuery, location);
@@ -242,12 +258,19 @@ export async function runJobScrapingPipeline(searchQuery: string, location: stri
 /**
  * Schedule periodic job scraping (would be called by a cron job or scheduler)
  */
-export async function schedulePeriodicJobScraping(interval: number = 3600000): Promise<void> {
+export async function schedulePeriodicJobScraping(
+  interval: number = 3600000
+): Promise<void> {
   // This would typically be set up with node-cron or similar
   console.log(`Job scraping scheduled every ${interval}ms`);
 
   setInterval(async () => {
-    const popularSearches = ["software engineer", "data scientist", "product manager", "full stack developer"];
+    const popularSearches = [
+      "software engineer",
+      "data scientist",
+      "product manager",
+      "full stack developer",
+    ];
 
     for (const search of popularSearches) {
       await runJobScrapingPipeline(search, "");
diff --git a/server/storage.ts b/server/storage.ts
index 6cdf862..5f56458 100644
--- a/server/storage.ts
+++ b/server/storage.ts
@@ -1,7 +1,7 @@
 // Preconfigured storage helpers for Manus WebDev templates
 // Uses the Biz-provided storage proxy (Authorization: Bearer <token>)
 
-import { ENV } from './_core/env';
+import { ENV } from "./_core/env";
 
 type StorageConfig = { baseUrl: string; apiKey: string };
 
@@ -92,7 +92,9 @@ export async function storagePut(
   return { key, url };
 }
 
-export async function storageGet(relKey: string): Promise<{ key: string; url: string; }> {
+export async function storageGet(
+  relKey: string
+): Promise<{ key: string; url: string }> {
   const { baseUrl, apiKey } = getStorageConfig();
   const key = normalizeKey(relKey);
   return {
diff --git a/shared/const.ts b/shared/const.ts
index 112ffc5..fa49709 100644
--- a/shared/const.ts
+++ b/shared/const.ts
@@ -1,5 +1,5 @@
 export const COOKIE_NAME = "app_session_id";
 export const ONE_YEAR_MS = 1000 * 60 * 60 * 24 * 365;
 export const AXIOS_TIMEOUT_MS = 30_000;
-export const UNAUTHED_ERR_MSG = 'Please login (10001)';
-export const NOT_ADMIN_ERR_MSG = 'You do not have required permission (10002)';
+export const UNAUTHED_ERR_MSG = "Please login (10001)";
+export const NOT_ADMIN_ERR_MSG = "You do not have required permission (10002)";
diff --git a/todo.md b/todo.md
index 1c40c6c..4ff9d5c 100644
--- a/todo.md
+++ b/todo.md
@@ -1,12 +1,14 @@
 # SprintWork - Feature Tracking
 
 ## Phase 1: Database & Backend Infrastructure
+
 - [x] Create comprehensive database schema (users, profiles, resumes, jobs, applications, etc.)
 - [x] Set up authentication system with role-based access (job seeker vs recruiter)
 - [x] Create database migration and apply schema
 - [x] Build core API endpoints for user management
 
 ## Phase 2: AI/ML Services
+
 - [x] Implement CV tailoring engine (LLM-based resume customization)
 - [x] Build job matching algorithm (ML-based recommendations)
 - [x] Create mock interview system (AI-powered conversational interviews)
@@ -14,6 +16,7 @@
 - [x] Build skill assessment module
 
 ## Phase 3: Web Scraping & Job Aggregation
+
 - [x] Set up web scraping infrastructure (Puppeteer/Cheerio)
 - [x] Implement LinkedIn job scraper
 - [x] Implement Indeed job scraper
@@ -22,6 +25,7 @@
 - [x] Set up scheduled job aggregation (hourly/daily updates)
 
 ## Phase 4: Frontend - Core Pages
+
 - [x] Build landing page with onboarding flow
 - [x] Create role selection and profile setup wizard
 - [x] Build job seeker dashboard (applications, recommendations, stats)
@@ -29,6 +33,7 @@
 - [x] Create navigation and layout structure
 
 ## Phase 5: Frontend - Job Search & Applications
+
 - [x] Build advanced job search page with filters
 - [x] Create job detail view with AI-powered recommendations
 - [x] Implement one-click job application with auto-CV tailoring
@@ -37,6 +42,7 @@
 - [x] Implement job alerts system
 
 ## Phase 6: Frontend - AI Features
+
 - [x] Build CV/resume builder interface
 - [x] Create AI CV tailoring UI (select job, generate tailored resume)
 - [x] Build mock interview interface
@@ -44,6 +50,7 @@
 - [x] Create interview history and performance tracking
 
 ## Phase 7: Frontend - Networking & Profiles
+
 - [x] Build user profile pages (job seekers and recruiters)
 - [x] Create networking/connections page
 - [x] Implement messaging system (basic chat)
@@ -51,6 +58,7 @@
 - [x] Create recruiter search and filtering
 
 ## Phase 8: Frontend - Skill Development
+
 - [x] Build skill development hub
 - [x] Create course/training program listings
 - [x] Implement progress tracking for courses
@@ -58,6 +66,7 @@
 - [x] Create personalized learning recommendations
 
 ## Phase 9: Integration & Polish
+
 - [x] Connect all frontend pages to backend APIs
 - [x] Integrate LLM services with frontend
 - [x] Test all buttons and interactive elements
@@ -66,6 +75,7 @@
 - [x] Optimize performance and responsiveness
 
 ## Phase 10: Testing & Deployment
+
 - [x] Write comprehensive vitest tests for backend
 - [x] Test all user workflows end-to-end
 - [x] Fix bugs and edge cases
@@ -75,23 +85,26 @@
 - [x] Prepare deployment documentation
 
 ## Completed Features
-(Items will be moved here as completed)
 
+(Items will be moved here as completed)
 
 ## Critical Bugs Found During Testing
 
 ### Phase 11: Job Search & Database Sync
+
 - [x] Fix job search returning "no results found" - jobs not syncing from recruiter posts
 - [x] Ensure recruiter posted jobs are immediately visible in job seeker search
 - [x] Verify job listing status updates correctly in database
 
 ### Phase 12: Profile & External Profiles
+
 - [x] Fix profile button not working on job seeker profile page
 - [x] Fix scale button functionality
 - [x] Implement external profile linking (GitHub, LinkedIn, portfolio)
 - [x] Add ability to add/edit/remove external profiles
 
 ### Phase 13: Mock Interview Enhancement
+
 - [x] Implement real AI interview session with Q&A
 - [x] Add camera and audio access for mock interviews
 - [x] Show interview questions dynamically (e.g., "Tell me more about yourself")
@@ -100,12 +113,14 @@
 - [x] Add interview feedback and scoring
 
 ### Phase 14: Networking & Find Professionals
+
 - [ ] Fix "Find Professionals" button error
 - [ ] Implement professional search based on resume/profile
 - [ ] Add filtering by job applications, mock interviews, job searches
 - [ ] Show connection status and approval flow
 
 ### Phase 15: Messaging System
+
 - [ ] Fix messaging page errors
 - [ ] Implement connection notification ("You've made a connection with...")
 - [ ] Build chat UI with active/inactive status indicators
@@ -113,12 +128,14 @@
 - [ ] Implement WhatsApp/Messenger-like chat interface
 
 ### Phase 16: Skill Development
+
 - [ ] Add skill development section to dashboard
 - [ ] Implement progress tracking for skills
 - [ ] Show skill recommendations based on job searches
 - [ ] Add course completion tracking
 
 ### Phase 17: Recruiter Job Management
+
 - [ ] Fix job posting status (should show "Published" not "Draft")
 - [ ] Implement job edit/update functionality
 - [ ] Add ability to add more job details and information
@@ -126,15 +143,16 @@
 - [ ] Add job review before publishing
 
 ### Phase 18: Saved Searches
+
 - [ ] Implement saved searches functionality
 - [ ] Store job search queries with user profile
 - [ ] Add job alert notifications for saved searches
 - [ ] Show search history and saved searches list
 
-
 ## Phase 15: Advanced AI Features - User Requirements
 
 ### LinkedIn Integration & Web Scraping
+
 - [ ] Implement LinkedIn OAuth authorization flow
 - [ ] Add LinkedIn profile web scraping (Python-based)
 - [ ] Extract skills, experience, education from LinkedIn
@@ -143,6 +161,7 @@
 - [ ] Create authorization UI for external profile access
 
 ### AI CV Tailoring Enhancement
+
 - [ ] Implement comprehensive CV tailoring using all user data (profile, skills, external profiles)
 - [ ] Use LLM to analyze job posting and user profile
 - [ ] Generate ATS-optimized resume tailored to specific job
@@ -151,6 +170,7 @@
 - [ ] Add download/export tailored CV as PDF
 
 ### AI Video Interviews
+
 - [ ] Implement AI video generation for mock interviews
 - [ ] Create interactive video interview system
 - [ ] Generate interview videos tailored to user profile and job
@@ -160,6 +180,7 @@
 - [ ] Record and analyze interview performance
 
 ### Personalized Skill Recommendations
+
 - [ ] Analyze mock interview performance data
 - [ ] Extract skill gaps from job descriptions
 - [ ] Generate personalized skill development recommendations
@@ -168,6 +189,7 @@
 - [ ] Recommend courses based on gaps and goals
 
 ### User Journey & Engagement Algorithm
+
 - [ ] Implement comprehensive user journey tracking
 - [ ] Create engagement scoring system
 - [ ] Track user activity (profile updates, applications, interviews, etc.)
@@ -177,6 +199,7 @@
 - [ ] Implement "Dream Job" prediction based on user data
 
 ### Personality & Cognitive Assessment
+
 - [ ] Analyze user responses in mock interviews
 - [ ] Extract personality traits and communication style
 - [ ] Assess cognitive ability and problem-solving approach
@@ -185,6 +208,7 @@
 - [ ] Generate personalized coaching recommendations
 
 ### Integration & End-to-End Flow
+
 - [ ] Create complete user onboarding journey
 - [ ] Implement profile → skills → external profiles → CV tailor → mock interview → recommendations flow
 - [ ] Add progress tracking dashboard
@@ -192,12 +216,12 @@
 - [ ] Implement job application with auto-CV tailoring
 - [ ] Add post-application follow-up and coaching
 
-
 ## Phase 16: OAuth Login System Implementation
 
 ### OAuth Provider Integration
+
 - [x] Implement Google OAuth integration
-- [x] Implement GitHub OAuth integration  
+- [x] Implement GitHub OAuth integration
 - [x] Implement LinkedIn OAuth integration
 - [x] Create OAuth callback handlers for each provider
 - [x] Extract user profile data from OAuth responses
@@ -206,6 +230,7 @@
 - [x] Auto-extract experience from LinkedIn profile
 
 ### Frontend OAuth UI
+
 - [x] Create login page with OAuth provider buttons
 - [x] Implement Google sign-in button
 - [x] Implement GitHub sign-in button
@@ -215,6 +240,7 @@
 - [x] Add profile data preview before confirmation
 
 ### Testing & Verification
+
 - [x] Test Google OAuth flow end-to-end
 - [x] Test GitHub OAuth flow end-to-end
 - [x] Test LinkedIn OAuth flow end-to-end
@@ -223,10 +249,10 @@
 - [x] Test user session creation
 - [x] Verify role-based access after OAuth signup
 
-
 ## Critical Bug Fixes - User Testing
 
 ### Profile Auto-Sync Issues
+
 - [ ] Auto-sync GitHub profile data on page refresh (bio, location, skills)
 - [ ] Auto-sync LinkedIn profile data on page refresh (bio, location, experience)
 - [ ] Extract and populate skills from GitHub repositories
@@ -235,6 +261,7 @@
 - [ ] Display success message after sync completes
 
 ### Mobile Navigation Issues
+
 - [ ] Add back button to all pages on mobile
 - [ ] Add navigation header with logo and menu on mobile
 - [ ] Fix mobile layout for profile page
diff --git a/vite.config.ts b/vite.config.ts
index 8d4acaf..1aed729 100644
--- a/vite.config.ts
+++ b/vite.config.ts
@@ -56,7 +56,7 @@ function writeToLogFile(source: LogSource, entries: unknown[]) {
   const logPath = path.join(LOG_DIR, `${source}.log`);
 
   // Format entries with timestamps
-  const lines = entries.map((entry) => {
+  const lines = entries.map(entry => {
     const ts = new Date().toISOString();
     return `[${ts}] ${JSON.stringify(entry)}`;
   });
@@ -132,7 +132,7 @@ function vitePluginManusDebugCollector(): Plugin {
         }
 
         let body = "";
-        req.on("data", (chunk) => {
+        req.on("data", chunk => {
           body += chunk.toString();
         });
 
@@ -150,7 +150,13 @@ function vitePluginManusDebugCollector(): Plugin {
   };
 }
 
-const plugins = [react(), tailwindcss(), jsxLocPlugin(), vitePluginManusRuntime(), vitePluginManusDebugCollector()];
+const plugins = [
+  react(),
+  tailwindcss(),
+  jsxLocPlugin(),
+  vitePluginManusRuntime(),
+  vitePluginManusDebugCollector(),
+];
 
 export default defineConfig({
   plugins,