RocketTrainer 🚀

An AI-powered Rocket League coaching platform that analyzes your gameplay, identifies weaknesses, and creates personalized training routines to help you rank up faster.

🎯 What It Does

RocketTrainer uses machine learning to analyze your Rocket League replays and provides:

• Smart Weakness Detection: AI identifies your specific skill gaps
• Personalized Training: Custom training pack recommendations
• Progress Tracking: Detailed analytics and improvement metrics
• Rank Prediction: Forecasts your rank progression based on improvement

🚀 Quick Start

Prerequisites

• Docker & Docker Compose
• Node.js 18+ (for local development)
• Python 3.9+ (for local development)

1. Clone and Setup

git clone <repository-url>
cd RocketTrainer
make setup

2. Start Development Environment

make start

3. Access the Application

• Frontend: http://localhost:3000
• API: http://localhost:8000
• API Docs: http://localhost:8000/docs

AI Analysis Dashboard

• Weakness Detection: Upload replays and get AI-powered analysis of your gameplay weaknesses
• Skill Breakdown: Detailed scoring across 8 skill categories (mechanical, positioning, game sense, etc.)
• Training Recommendations: Personalized training pack suggestions based on your weaknesses
• Progress Tracking: Monitor improvement over time with confidence scoring

Development Features

• Environment-aware configuration (lower requirements for testing)
• Comprehensive error handling with user-friendly messages
• Redis caching for improved performance
• Rate limiting for API protection

📈 API Documentation

Once the development server is running, visit:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

🔑 Environment Variables

Copy .env.example to .env and configure:

# Required for full functionality
BALLCHASING_API_KEY=your-ballchasing-api-key
STEAM_API_KEY=your-steam-api-key

# Database
DATABASE_URL=postgresql://postgres:password@localhost:5432/rockettrainer

# Security
SECRET_KEY=your-secret-key-here

🤝 Contributing

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

📝 License

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

🙏 Acknowledgments

• Ballchasing.com for replay data API
• Rocket League community for training pack creation
• Psyonix for creating an amazing game

📞 Support

• Create an issue for bug reports
• Check the documentation in /docs

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Built with ❤️ for the Rocket League community