Protégé is an intelligent, mission-driven mobile learning application designed to help users master new skills through personalized, AI-generated learning paths. It combines the power of LLMs (Llama 3 via Groq) with curated multi-media resources to create a dynamic educational experience.

• AI-Generated Syllabi: Generates structured learning paths (Modules > Lessons) for any topic.
• Curated Resources: Automatically aggregates high-quality resources for every lesson:
  • 📹 Videos: Tutorials from YouTube.
  • 📄 Articles: Guides from Dev.to, Hashnode, freeCodeCamp, and more.
  • 💻 Code Examples: Repositories from GitHub.
  • 📖 Overviews: Summaries from Wikipedia.
• AI Tutor: Interactive chat for clarifying doubts and asking questions.
• Gamification: Track progress, streaks, and achievements (In Progress).
• Cross-Platform: Built with Flutter (Android/iOS) and FastAPI (Python).

• Framework: Flutter (Dart)
• State Management: Riverpod
• Navigation: GoRouter
• Networking: Dio
• UI Components: Custom clean design with Glassmorphism elements.

• Framework: FastAPI (Python 3.12)
• AI Engine: Groq API (Llama 3 Instruct)
• External APIs:
  • YouTube Data API
  • GitHub API
  • Dev.to API
  • Wikipedia REST API
  • Hashnode/FreeCodeCamp (GraphQL/RSS)
• Database: Firebase Firestore (Persistence)
• Auth: Firebase Authentication

Protege/
├── protege_app/          # Flutter Frontend
│   ├── lib/              # Application Code
│   │   ├── core/         # Constants, Themes, Router
│   │   ├── data/         # Models, Repositories, Services
│   │   ├── presentation/ # Screens, Widgets, Providers
│   └── ...
│
└── protege_backend/      # FastAPI Backend
    ├── app/
    │   ├── api/          # API Routes (v1)
    │   ├── services/     # Business Logic & Integrations
    │   ├── prompts/      # AI Prompt Engineering
    │   └── main.py       # Application Entry Point
    └── ...

• Flutter SDK
• Python 3.11+
• Firebase Project (configured)
• API Keys (Groq, YouTube, etc.)

cd protege_backend
python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows
pip install -r requirements.txt
uvicorn app.main:app --reload

cd protege_app
flutter pub get
flutter run

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/amazing-feature).
3. Commit changes (git commit -m 'Add amazing feature').
4. Push to branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

This project is licensed under the MIT License.