AI Assignment Recommender System

An intelligent system that helps students find relevant assignment topics, get personalized recommendations, and receive AI-powered feedback on their work.

Features

• 🎯 Smart Topic Suggestions: AI-powered recommendations based on course, previous submissions, and semester
• 📚 Resource Integration: Curated YouTube videos, GitHub repos, and research papers
• ⏱️ Difficulty Assessment: Automatic evaluation of complexity and estimated completion time
• 🤖 AI Feedback: Performance analysis, optimization suggestions, and clarity improvements
• 📝 Sample Solutions: Generate outlines and examples without plagiarism
• 🔗 Platform Integration: GitHub and Google Docs integration for seamless submission management
• 💬 Natural Language Interface: Simple prompt-based interaction

Quick Start

# Install dependencies
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys

# Run the application
python app.py

Example Usage

"Recommend a project for my DBMS lab that's innovative but easy to demo"
"Suggest a machine learning assignment for beginners with good documentation"
"Find resources for building a REST API with authentication"

Tech Stack

• Backend: FastAPI (Python)
• Frontend: React with TypeScript
• AI/ML: OpenAI GPT, scikit-learn
• Database: PostgreSQL
• Integrations: GitHub API, YouTube API, Google Docs API

Project Structure

├── backend/           # FastAPI backend
├── frontend/          # React frontend
├── ai_models/         # AI recommendation models
├── integrations/      # External API integrations
├── database/          # Database models and migrations
└── docs/             # Documentation

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

MIT License - see LICENSE file for details