✅ Feature: AI Suggestions to Improve Resume Keywords & Formatting

[Suhani-ai-dev]

📌 Description
Add an AI-powered recommendation system that analyzes resume content and provides smart suggestions to improve keywords, formatting, and ATS compatibility. The feature will help users optimize resumes according to industry standards and job descriptions.

✨ Proposed Enhancements

• Detect weak or repetitive keywords in resumes
• Suggest ATS-friendly technical and soft-skill keywords
• Recommend action verbs for stronger resume points
• Highlight missing industry-relevant keywords
• Detect formatting inconsistencies
• Improve section alignment and readability
• Suggest concise and professional sentence structures
• Provide resume optimization tips in real time

🛠️ Technical Implementation

• Use AI/LLM APIs for keyword analysis and text suggestions
• Extract text using PDF.js parser
• Create reusable suggestion cards using React components
• Manage analysis state using Redux Toolkit
• Add formatting validation logic for headings, spacing, and sections

🎯 Benefits

• Improves ATS score and recruiter readability
• Helps users create professional resumes
• Increases chances of shortlisting for jobs and internships
• Gives real-time actionable feedback

📋 Tasks

• Build keyword analysis module
• Create formatting validation system
• Design suggestion UI components
• Integrate AI recommendation API
• Add live feedback updates
• Improve mobile responsiveness

[couder-04]

Hi @sunilkumar2170 ,

I would like to work on this issue under GSSoC '26.

Proposed Approach

I plan to implement an AI-powered resume recommendation and optimization system that analyzes resume content and provides intelligent suggestions to improve ATS compatibility, keyword relevance, readability, and professional presentation.

The feature will use AI/LLM-based analysis combined with formatting validation logic to generate real-time actionable recommendations tailored to industry standards and job descriptions.

Planned Enhancements

• Detect weak, repetitive, or ineffective resume keywords
• Suggest ATS-friendly technical and soft-skill keywords
• Recommend impactful action verbs for resume bullet points
• Highlight missing industry-relevant skills and keywords
• Detect formatting inconsistencies and section misalignment
• Improve readability and professional structure
• Suggest concise and stronger sentence structures
• Provide real-time resume optimization feedback

Features to be Included

• Resume text extraction using PDF.js parser
• AI-powered keyword and content analysis
• ATS optimization recommendation engine
• Formatting validation system
• Live feedback and suggestion updates
• Reusable React-based suggestion cards
• Responsive and scalable UI design
• Industry/job-description-aware recommendations

Technical Implementation

• AI/LLM APIs for content analysis and suggestions
• PDF.js for resume text extraction
• React components for reusable suggestion UI
• Redux Toolkit for analysis state management
• Formatting validation logic for sections, spacing, and headings
• Real-time frontend-backend integration

Goals

• Improve ATS scores and recruiter readability
• Help users build more professional resumes
• Increase chances of internship/job shortlisting
• Provide intelligent and actionable resume feedback
• Enhance the AI-powered career assistance experience

Tech Stack

• React.js
• Redux Toolkit
• Node.js / Express.js
• OpenAI / Gemini API
• PDF.js
• Prompt Engineering
• CSS / Tailwind

Tasks Planned

• Build keyword analysis module
• Create formatting validation system
• Design reusable suggestion components
• Integrate AI recommendation APIs
• Add real-time feedback updates
• Improve mobile responsiveness

Files Likely to be Modified

• frontend/src/components/
• frontend/src/features/
• backend/src/services/ai/
• backend/src/routes/
• backend/src/controllers/
• README.md

Name: Parth Tomar
GitHub: https://github.com/couder-04
Email: parth04pt@gmail.com

Kindly assign this issue to me. I would love to contribute to this project and submit a quality PR.

— Parth Tomar (@couder-04)
GSSoC 2026 Contributor | AI/ML Track

[Suhani-ai-dev]

Hi @sunilkumar2170 , I’m interested in working on this issue and would like to contribute under GSSOC'26 Contributor.
Could you please assign it to me?