Coach Core AI

A comprehensive AI-powered coaching platform built with React, TypeScript, and Firebase. Coach Core AI provides intelligent practice planning, team management, and analytics for sports coaches.

🚀 Features

AI-Powered Practice Planning

• Smart Practice Generator: AI-driven practice plan creation based on team performance data
• Drill Library: Extensive collection of drills with difficulty ratings and skill focus
• Adaptive Planning: Plans that adjust based on player progress and team needs

Team Management

• Roster Management: Complete player database with performance tracking
• Attendance Tracking: Automated check-in system with analytics
• Player Profiles: Individual player statistics and progress monitoring

Smart Playbook

• Interactive Play Designer: Visual play creation with drag-and-drop interface
• Formation Templates: Pre-built formations for various sports
• Route Editor: Custom route creation and editing tools
• Play Library: Organized collection of plays with search and filtering

Analytics Dashboard

• Performance Metrics: Real-time team and individual performance tracking
• Progress Analytics: Visual charts and graphs for data analysis
• AI Insights: Intelligent recommendations based on performance data

AI Assistant

• Natural Language Interface: Chat with AI for coaching advice and insights
• Practice Suggestions: AI-generated recommendations for drills and exercises
• Performance Analysis: Automated analysis of team and player data

🛠️ Tech Stack

• Frontend: React 18, TypeScript, Tailwind CSS
• Backend: Firebase (Firestore, Authentication, Functions)
• AI/ML: OpenAI GPT-4, Custom AI models
• Deployment: Firebase Hosting, Vercel
• State Management: React Context, Custom hooks
• UI Components: Custom component library with Storybook

📁 Project Structure

src/
├── ai-brain/           # AI core functionality
├── components/         # Reusable UI components
├── contexts/          # React contexts
├── features/          # Feature-specific components
├── hooks/             # Custom React hooks
├── services/          # API and external services
├── types/             # TypeScript type definitions
└── utils/             # Utility functions

🚀 Getting Started

Prerequisites

• Node.js 18+
• npm or yarn
• Firebase account
• OpenAI API key

⚠️ Important Setup Note

This project requires internet access for initial dependency installation. The testing environment needs react-scripts and testing libraries to be installed. See SETUP.md for detailed instructions.

Installation

1. Clone the repository

   git clone https://github.com/yourusername/coach-core-ai.git
   cd coach-core-ai

2. Install dependencies

   npm install

3. Set up environment variables

   cp env.production.example .env.local

   Edit .env.local with your configuration:

   VITE_FIREBASE_API_KEY=your_firebase_api_key
   VITE_FIREBASE_AUTH_DOMAIN=your_project.firebaseapp.com
   VITE_FIREBASE_PROJECT_ID=your_project_id
   VITE_OPENAI_API_KEY=your_openai_api_key

4. Set up Firebase

   npm install -g firebase-tools
   firebase login
   firebase init

5. Start the development server

   npm start

🔧 Configuration

Firebase Setup

1. Create a new Firebase project
2. Enable Authentication, Firestore, and Functions
3. Update firebase.json and firestore.rules as needed
4. Deploy Firebase configuration:

   firebase deploy

AI Configuration

1. Set up OpenAI API key in environment variables
2. Configure AI models in src/ai-brain/core/AIBrain.ts
3. Test AI functionality with npm run test:ai

📦 Available Scripts

• npm start - Start development server
• npm build - Build for production
• npm test - Run tests
• Ensure you've run npm install to install react-scripts and all other testing dependencies before executing the test suite.
• npm run deploy - Deploy to Firebase
• npm run storybook - Start Storybook
• npm run test:ai - Test AI functionality

🚀 Deployment

Firebase Hosting

npm run build
firebase deploy

Vercel

npm run build
vercel --prod

🤝 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.

🆘 Support

For support, email support@coachcoreai.com or join our Slack channel.

🔮 Roadmap

• Mobile app development
• Advanced AI analytics
• Multi-sport support
• Integration with wearable devices
• Video analysis features
• Social features for coaches

🙏 Acknowledgments

• OpenAI for GPT-4 integration
• Firebase team for the excellent backend services
• React team for the amazing framework
• All contributors and beta testers

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Coach Core AI - Empowering coaches with intelligent tools for better team performance.