Part of the 10 Generative AI Apps Roadmap - A comprehensive learning journey building commercializable AI-powered mobile applications.

[Brief description of what the app does and its main value proposition]

Key Features:

• 🎯 [Feature 1]
• 🚀 [Feature 2]
• 💡 [Feature 3]
• 📱 Cross-platform (iOS & Android)

• Node.js 18+
• Python 3.9+
• [Any app-specific requirements]

1. Clone the repository

   git clone https://github.com/PCSchmidt/generative-ai-[app-name].git
   cd generative-ai-[app-name]

2. Set up the backend

   cd backend
   python -m venv venv
   source venv/bin/activate  # or venv\Scripts\activate on Windows
   pip install -r requirements.txt

3. Set up the frontend

   cd frontend
   npm install

4. Configure environment variables

   cp .env.example .env
   # Edit .env with your API keys

5. Start the development servers

   # Terminal 1: Backend
   cd backend && uvicorn app.main:app --reload
   
   # Terminal 2: Frontend
   cd frontend && npm start

🔗 Try it now

[Add screenshots here]

[Add demo video link]

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   React Native  │    │   FastAPI API   │    │   AI Services   │
│    Frontend     │────│    Backend      │────│ (LangChain/etc) │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │                       │                       │
         v                       v                       v
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Mobile App    │    │   Vector Store  │    │  External APIs  │
│  (iOS/Android)  │    │ (ChromaDB/etc)  │    │ (OpenAI/Groq)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘

POST /api/[main-endpoint]     # Main app functionality
GET  /api/health             # Health check
POST /api/upload             # File upload (if applicable)
GET  /api/history            # User history (if applicable)

[Detailed description with code examples if relevant]

[Detailed description with code examples if relevant]

[Detailed description with code examples if relevant]

# AI APIs
OPENAI_API_KEY=your_openai_key
[OTHER_API_KEY]=your_key

# App Configuration
DEBUG=true
MAX_FILE_SIZE=10
DATABASE_URL=your_db_url

# Customize AI model settings
MODEL_CONFIG = {
    "temperature": 0.7,
    "max_tokens": 500,
    "model": "mistral-7b"
}

• Average API response: ~2s
• Mobile app load time: ~1s
• AI processing time: ~3-5s

• [Relevant accuracy metrics for your app]

• Development cost: $0 (free tiers)
• Estimated monthly cost: $10-50 (depending on usage)

# Backend tests
cd backend && pytest

# Frontend tests  
cd frontend && npm test

# E2E tests
npm run test:e2e

• Backend: 80%+
• Frontend: 70%+
• Integration: 90%+

# Configure render.yaml
# Push to GitHub (auto-deploys)

# Build for production
expo build:android
expo build:ios

# Submit to stores
expo upload:android
expo upload:ios

• Development: Local development
• Staging: Render free tier
• Production: Render paid tier + CDN

• Core functionality
• Basic UI
• API integration
• Mobile responsiveness

• Advanced AI features
• User authentication
• Data persistence
• Performance optimizations

• Offline mode
• Advanced analytics
• Premium features
• Multi-language support

We welcome contributions! Here's how to get started:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes and add tests
4. Run the test suite (npm test)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to the branch (git push origin feature/amazing-feature)
7. Open a Pull Request

• UI improvements
• Documentation updates
• Test coverage
• Performance optimizations

• LangChain Documentation
• Vector Databases Guide
• RAG Implementation Tutorial

• React Native Docs
• FastAPI Tutorial
• Expo Documentation

• [List any known limitations or bugs]

• All API keys are properly secured
• Input validation on all endpoints
• HTTPS enforcement in production
• Regular dependency updates

This project is licensed under the MIT License - see the LICENSE file for details.

• 10 AI Apps Roadmap - Parent project
• OpenAI/Groq/Hugging Face - AI model providers
• LangChain Team - AI orchestration framework
• Open Source Community - Various tools and libraries

• GitHub: @PCSchmidt
• Portfolio: All 10 AI Apps
• Roadmap: Development Journey

⭐ Star this repo if you find it helpful! ⭐

This app is part of a 10-app portfolio showcasing modern generative AI development. Check out the complete roadmap for more!