🌟 AI Job Recommendation Platform

Live Frontend: https://ai-job-recommend-front-end.vercel.app/
Live Backend: https://ai-job-recommend-backend.onrender.com/

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📄 About This Project

The AI Job Recommendation Platform helps users discover the best job opportunities tailored to their skills by analyzing their resume or search preferences.
It is a full-stack web application built with React, Node.js, MongoDB, Socket.IO, and more modern technologies.

🔒 Note:
This GitHub repository shows only the folder structure.
If you want access to the full project source code (both frontend and backend),
please contact me directly via:

• 📧 Email: sineraja97@gmail.com

• 📱 LinkedIn: your-linkedin-profile

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🚀 Core Functionalities

• Upload your resume and get AI-powered job matches.
• Search and filter jobs by title, location, category, experience, and salary.
• Real-time chat functionality for recruiters and applicants (via Socket.IO).
• Companies can post jobs and manage applications.
• Beautiful responsive UI built with Tailwind CSS.
• Fully deployed frontend (Vercel) and backend (Render).

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⚙️ Tech Stack

Frontend	Backend	Deployment	Database	Real-Time
React.js	Node.js	Vercel (Frontend)	MongoDB Atlas	Socket.IO
Tailwind CSS	Express.js	Render (Backend)	Mongoose ODM	WebSockets
Axios	Cloudinary API (for uploads)

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📦 Project Structure

Frontend/
├── src/
│   ├── components/
│   ├── employeeComponent/
│   ├── JobSeeker/
│   ├── LandingPages/
│   ├── realtimeChat/
│   ├── animations/
│   ├── assets/
│   └── App.js
Backend/
├── jobControllers/
├── jobRoutes/
├── jobModel/
├── jobMiddleware/
├── configuration/
├── jobDatabase/
├── conversations/
├── utilities/
└── backendApp.js

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🎯 Future Improvements (Coming Soon)

• AI Chatbot for career counseling.
• Admin dashboard for job analytics.
• More advanced resume parsing and skill extraction.

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📢 Contact Me

If you are a recruiter, hiring manager, or developer and want to collaborate,
or if you want access to the full source code, feel free to reach out:

• 📧 Email: sineraja97@gmail.com

• 📱 LinkedIn: your-linkedin-profile

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⭐ GitHub Topics/Tags

(add these as explained before)

AI · Job Recommendation · Resume Matching · Job Search · Career Platform · React · Node.js · MongoDB · Socket.IO · TailwindCSS · Vercel · Render

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📦 Backend - README.md

🛠️ AI Job Recommend - Backend

📜 Description

This is the backend server for the AI Job Recommend platform, responsible for handling:

• User authentication
• Job posting and searching
• Resume matching and analysis
• Real-time messaging (Socket.IO)

Built with Express.js, MongoDB, and Socket.IO.

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🚀 Tech Stack

• Node.js
• Express.js
• MongoDB (Mongoose)
• Socket.IO
• Cloudinary (for file uploads)
• Render.com (Backend hosting)

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⚙️ Project Structure

configuration/
conversations/
jobControllers/
jobDatabase/
jobMiddleware/
jobModel/
jobRoutes/
node_modules/
utilities/
backendApp.js
server.js
socket.js
package.json

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🌐 API Base URL

https://ai-job-recommend-backend.onrender.com/

Example:
GET /api/v1/job/all

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🛡️ Environment Variables (.env)

DATABASE_URI=your_mongodb_uri
FRONTEND_URL=https://ai-job-recommend-front-end.vercel.app/
CLOUDINARY_NAME=your_cloudinary_name
COOKIE_LIFETIME=your_cookie_lifetime

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🧠 Run Locally

npm install
npm run dev

Server runs at http://localhost:8000 (or your set PORT).

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📄 License

This project is licensed under the MIT License.

🌟 Frontend - README.md

🎯 AI Job Recommend - Frontend

📜 Description

This is the frontend client for the AI Job Recommend platform, built using ReactJS and TailwindCSS.

It allows users to:

• Search and apply for jobs
• Upload resumes for AI-based job recommendations
• View matched jobs
• Real-time chat with companies

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🚀 Tech Stack

• ReactJS
• Tailwind CSS
• Axios
• Framer Motion
• React Icons
• React Toastify

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📂 Project Structure

public/
src/
 ├── animations/
 ├── assets/
 ├── components/
 ├── employeeComponent/
 ├── JobSeeker/
 ├── LandingPages/
 ├── realtimeChat/
.env
.gitignore
package.json
tailwind.config.js

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🌐 Live URL

Live Demo

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⚙️ Environment Variables (.env)

REACT_APP_BACKEND_URL=https://ai-job-recommend-backend.onrender.com/

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🧠 Run Locally

npm install
npm start

Frontend will start on http://localhost:3000.

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📄 License

This project is licensed under the MIT License.