aimorpher.com

Turn your resume into a professional website in seconds. Powered by Together.ai & Llama 3.3.

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English

🚀 Features

• One-Click Conversion: Upload your LinkedIn PDF or resume and get a professional website instantly
• AI-Powered: Uses Together.ai's Llama 3.3 for intelligent content extraction
• Real-time Editing: Edit your resume content with live preview
• Custom URLs: Get your personalized URL (e.g., aimorpher.com/yourname)
• Responsive Design: Looks great on all devices
• SEO Optimized: Built-in SEO with Open Graph support
• 100% Free & Open Source: No hidden costs, fully open source

🛠 Tech Stack

• AI/LLM: Together.ai with Llama 3.3 for content extraction
• Framework: Next.js 14 with App Router
• Authentication: Clerk for user management geekskai666
• Database: Upstash Redis for data storage
• File Storage: Cloudflare R2 for PDF storage
• Styling: Tailwind CSS + shadcn/ui components
• Deployment: Vercel for hosting
• Analytics: Plausible (optional)

🎯 How It Works

1. Sign Up: Create an account with Clerk authentication
2. Upload: Upload your LinkedIn PDF or resume (supports PDF format only)
3. AI Processing: Llama 3.3 extracts and structures your information
4. Customize: Edit and customize your content with real-time preview
5. Publish: Get your personalized website URL and share it with the world

🚀 Quick Start

Prerequisites

• Node.js 18+ and pnpm
• Together.ai account for AI processing
• Upstash Redis database
• Cloudflare R2 bucket for file storage
• Clerk account for authentication

Installation

1. Clone the repository

   git clone https://github.com/geekskai/aimorpher.git
   cd aimorpher

2. Install dependencies

   pnpm install

3. Set up environment variables

   cp .env.example .env.local

   Fill in your API keys:

   # Together.ai
   TOGETHER_API_KEY=your_together_api_key
   
   # Upstash Redis
   UPSTASH_REDIS_REST_URL=your_redis_url
   UPSTASH_REDIS_REST_TOKEN=your_redis_token
   
   # Cloudflare R2
   R2_ACCOUNT_ID=your_r2_account_id
   R2_ACCESS_KEY_ID=your_r2_access_key
   R2_SECRET_ACCESS_KEY=your_r2_secret_key
   R2_BUCKET_NAME=your_bucket_name
   R2_ENDPOINT=your_r2_endpoint
   
   # Clerk Authentication
   NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
   CLERK_SECRET_KEY=your_clerk_secret_key

4. Run the development server

   pnpm dev

5. Open your browser Navigate to http://localhost:3000

📁 Project Structure

Tech stack

• Together.ai for the LLM
• Vercel's AI SDK as the LLM framework
• Clerk for authentication
• Next.js app router
• Helicone for observability
• Cloudflare R2 for object storage (PDFs)
• Upstash redis for my DB
• Vercel for hosting

How it works

1. Create an account on the site with Clerk
2. Upload a PDF which gets uploaded to R2 and does a safety check with Llama Guard
3. Send the PDF as context to Qwen Next to extract out relevant information with structured outputs (JSON mode)
4. Get all the information & put it on a dynamic route for the user to be able to view & publish their site

Cloning & running

1. Fork or clone the repo
2. Create an account at Together AI for the LLM
3. Create an account at Upstash for the Redis DB
4. Create an account at Cloudflare for the R2 bucket
5. Create a .env (use the .example.env for reference) and replace the API keys
6. Run pnpm install and pnpm run dev to install dependencies and run locally

Running Tests Locally

# Run all tests
pnpm test:run

# Run tests with UI
pnpm test:ui

# Run tests in watch mode
pnpm test

Future tasks

• add error logging to make sure to fix any bugs
• add ability to get to the "preview" page if you have a site already
• ability to edit links in the site
• ability to edit any section in the site
• add themes that you can toggle on (start with ghibli)
• Delete previously uploaded resume when we upload a new one