🚀 DISHAA – AI-Powered Internship Recommendation Platform

DISHAA is a full-stack web application that helps students discover the most relevant internships using AI-based recommendations. It analyzes user skills and preferences to suggest personalized opportunities.

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🌟 Features

🔐 Authentication

• User Registration & Login (JWT-based)
• Secure password hashing (bcrypt)
• Protected routes

🧠 AI Recommendation System

• ML microservice (FastAPI)
• Skill-based internship matching
• Match score generation

💼 Internship System

• Browse internships
• Smart recommendations
• Apply workflow (backend integrated)

👤 User Profile

• Profile management
• Skills tracking
• Resume upload
• Profile completion progress

🎨 Modern UI/UX

• Glassmorphism design
• Fully responsive layout
• Smooth animations (Framer Motion)
• Clean dashboard experience

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🏗️ Tech Stack

Frontend

• React.js
• Tailwind CSS
• Framer Motion
• React Router

Backend

• Node.js
• Express.js
• SQLite (or any DB)

ML Service

• FastAPI
• Pandas / ML logic

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📂 Project Structure

internship-app/
│
├── frontend/          # React frontend
├── backend/           # Node.js API
├── ml-service/        # FastAPI ML recommender
│
└── README.md

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⚙️ Setup Instructions

1️⃣ Clone Repository

git clone https://github.com/your-username/internship-app.git
cd internship-app

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2️⃣ Backend Setup

cd backend
npm install

Create .env file:

PORT=5002
JWT_SECRET=your_secret_key

Run server:

npm start

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3️⃣ ML Service Setup

cd ml-service
pip install -r requirements.txt

Run:

python -m uvicorn main:app --reload --port 8000

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4️⃣ Frontend Setup

cd frontend
npm install
npm start

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🔗 API Endpoints

Auth

• POST /api/auth/register
• POST /api/auth/login

Recommendations

• POST /api/recommend

Apply

• POST /api/apply

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🧠 How It Works

1. User enters skills
2. Frontend sends request → backend
3. Backend calls ML service
4. ML model returns ranked internships
5. Frontend displays recommendations

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📸 Screenshots

• Home Page
• Dashboard
• Profile Page
• Recommendation Results

(Add screenshots here)

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🚀 Future Improvements

• 🤖 Advanced ML model (cosine similarity / NLP)
• 📊 Analytics dashboard
• 📱 Mobile app
• 🌐 Deployment (Vercel + Render)
• 🔔 Notifications system

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👨‍💻 Author

Rohit Kumar Full Stack Developer | AI Enthusiast

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📄 License

This project is licensed under the MIT License.

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⭐ Show Your Support

If you like this project, give it a ⭐ on GitHub!

3665cad (First commit)