🚀 AI-Powered Internship & Job Application Platform

A production-ready MERN stack application that helps students find internships, track applications, and receive AI-powered career guidance — all in one place.

🔗 Live Demo (Frontend):
👉 https://ai-internship-frontend.onrender.com

🔗 Backend API:
👉 https://ai-internship.onrender.com

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🎯 Problem Statement

Students apply to multiple internships across platforms but struggle with:

• Tracking application status
• Understanding skill gaps from job descriptions
• Getting personalized career guidance

This platform solves all three using AI + analytics + modern UI.

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✨ Features

🔍 Live Job Search

• Real-time job listings via RapidAPI (JSearch)
• Advanced filtering by title, location, employment type
• One-click application tracking

🤖 AI Job Analyzer

• Paste job descriptions for analysis
• Skill match percentage calculation
• Identify missing skills
• Download professional PDF reports

💬 AI Career Bot

• Personalized career advice
• Interactive career roadmap generation
• Natural AI-driven conversation

📊 Application Tracker

• Centralized dashboard for all applications
• Status tracking: Applied | Interview | Offer | Rejected
• Visual analytics using charts

🎨 Modern UI / UX

• Dark / Light mode
• Fully responsive design
• Smooth animations with Framer Motion
• Professional glassmorphism UI

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🛠 Tech Stack

Frontend

• React.js (Vite)
• Tailwind CSS
• Framer Motion
• Chart.js
• Lucide React
• Firebase Authentication & Storage

Backend

• Node.js
• Express.js
• MongoDB Atlas + Mongoose
• JWT Authentication
• Groq AI (Llama 3.3 – 70B)
• RapidAPI (JSearch)

AI Capabilities

• Job description analysis
• Resume skill extraction
• Career advice generation
• Personalized learning roadmaps

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🏗 Project Structure

AI-InternShip
│
├── client/                 # React frontend
│   ├── components/
│   ├── pages/
│   ├── services/
│   └── utils/
│
├── server/                 # Express backend
│   ├── models/             # Mongoose schemas
│   ├── routes/             # API routes
│   ├── controllers/        # Business logic
│   ├── middleware/         # Authentication & security
│   └── utils/              # AI helpers
│
└── README.md

⚙️ Environment Variables

Backend (server/.env)

PORT=5000
MONGO_URI=your_mongodb_atlas_uri
JWT_SECRET=your_jwt_secret

GROQ_API_KEY=your_groq_api_key
RAPIDAPI_KEY=your_rapidapi_key
RAPIDAPI_HOST=jsearch.p.rapidapi.com

Frontend (client/.env)

VITE_API_BASE_URL=https://ai-internship.onrender.com
VITE_FIREBASE_API_KEY=your_key
VITE_FIREBASE_AUTH_DOMAIN=your_domain
VITE_FIREBASE_PROJECT_ID=your_project_id

📦 Installation & Setup

Prerequisites

• Node.js v18+
• MongoDB Atlas
• Firebase Project
• Groq AI API Key
• RapidAPI Key

Clone Repository

git clone https://github.com/nas23ise-dot/AI-InternShip.git
cd AI-InternShip

Backend Setup

cd server
npm install
npm run dev

Frontend Setup

cd client
npm install
npm run dev

🔐 Authentication Flow

• Firebase handles login & signup
• JWT secures backend APIs
• Scalable for future role-based access

📈 Future Enhancements

• AI resume scoring & ATS matching
• Email notifications for application updates
• Admin dashboard
• Company-wise analytics

🧠 Why This Project Stands Out

• ✔ Real-world AI integration
• ✔ Production deployment
• ✔ Clean MERN architecture
• ✔ Strong resume & interview project

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📄 License

This project is for educational purposes as part of a CSE major project.

🤝 Contributing

This is an academic project. Feedback and suggestions are welcome!

🆘 Support

For deployment help, see the Deployment Guide.

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Built with ❤️ by Huesh

👨‍💻 Author

Naveen S ISE Student | MERN Stack Developer | AI Enthusiast