AI Job Application Tracker

This repository contains a MERN-style job application tracker with AI-assisted parsing and resume suggestion support.

• Frontend: React + TypeScript + Vite + Tailwind CSS
• Backend: Node.js + Express + TypeScript
• Database: MongoDB + Mongoose
• Auth: JWT + bcrypt
• AI: NVIDIA NIM
• State management: React Query

Try a Live Demo at: https://apply-ai-iota.vercel.app/

1. Create a Railway account at https://railway.app
2. Connect your GitHub repository
3. Add these environment variables in Railway:
   • MONGODB_URI
   • JWT_SECRET
   • NIM_API_KEY
   • NIM_API_URL
   • NIM_MODEL
   • FRONTEND_URL (your Vercel/Netlify URL)
4. Railway will auto-deploy when you push to main

1. Create a Vercel account at https://vercel.com
2. Connect your GitHub repository
3. Add environment variable: VITE_API_BASE_URL = your Railway backend URL
4. Deploy automatically

• Render: Similar to Railway, supports Node.js + MongoDB
• Netlify: Alternative to Vercel for frontend
• Heroku: Traditional but has free tier limitations

NIM_MODEL=llama-3.1-405b-instruct

cd backend
npm install
npm run dev

cd frontend
npm install
npm run dev

• POST /api/auth/register - register a new user
• POST /api/auth/login - log in and receive a JWT
• GET /api/applications - list current user's applications
• POST /api/applications - create application
• PUT /api/applications/:id - update application
• DELETE /api/applications/:id - delete application
• POST /api/applications/parse - parse a job description and get resume suggestions

• Do not commit real secret values.
• The backend uses NIM_API_KEY and NIM_API_URL to connect to NVIDIA NIM.
• The frontend reads VITE_API_BASE_URL to call the backend.

• AI logic is placed in backend/src/services/aiService.ts.
• Auth is separated into service, controller, and route layers.
• The frontend uses React Query for data fetching and cache invalidation.
• The board supports drag-and-drop status updates and card detail display.