Neonflake is a MERN stack application that leverages AI-powered resume parsing and job role matching to provide users with the best job recommendations based on their skill set.
- Resume Parsing using AI (Gemini API)
- Job Role Matching via Adzuna API
- Interactive UI with React & Tailwind CSS
- MongoDB Database for storing parsed resume data
- RESTful API with Express.js
- Frontend: React.js (Vite), Tailwind CSS
- Backend: Node.js, Express.js, MongoDB
- Database: MongoDB (Mongoose)
- APIs Used: Gemini AI, Adzuna API
sh git clone https://github.com/your-username/neonflake-ai-parser.git cd neonflake-ai-parser
- Install Dependencies For Backend: cd backend npm install
For Frontend: cd frontend npm install
- Configure Environment Variables Create .env files in both frontend and backend directories.
Frontend (frontend/.env) VITE_BACKEND_URL=//your_backend_url
Backend (backend/.env) MONGO_URI=//your_mongo_db_url GEMINI_API_KEY=//your_gemini_api_key ADZUNA_APP_ID=//your_adzuna_app_id ADZUNA_API_KEY=//your_adzuna_api_key FRONTEND_URL=//your_frontend_url PORT=3000
- Run the Application Backend: cd backend npm start
Frontend: cd frontend npm run dev
📌 Deployment You can deploy the frontend on Vercel/Netlify and the backend on Vercel/Render.