A modern web application for practicing chess openings through interactive training sessions. Built with React, Chess.js.

• 📚 Load and practice chess openings from PGN files
• 🎮 Interactive chessboard with drag-and-drop moves
• ⚪️ Play as either White or Black
• ✅ Immediate feedback on move accuracy
• 🔄 Automatic position reset when reaching end of line
• 📊 Move validation against opening lines
• 🎯 Multiple games/variations support

• Frontend:
  • React with TypeScript
  • Chess.js for game logic
  • React-Chessboard for the interactive board
  • Tailwind CSS for styling
  • Sonner for toast notifications

• Node.js (v16 or higher)
• npm or yarn
• Git

1. Clone the repository:

git clone https://github.com/yourusername/chessOpeningTrainer.git
cd chessOpeningTrainer

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

1. Upload an Opening:

   • Click "Choose File" to upload a PGN file
   • The first game/variation will be loaded automatically

2. Select Your Side:

   • Choose to play as White or Black
   • The computer will automatically play the opposite side

3. Practice the Opening:

   • Make moves by dragging pieces
   • Receive immediate feedback on move accuracy
   • The position resets automatically when you reach the end

chessOpeningTrainer/
├── src/
│   ├── ChessTrainer.tsx    # Main game component
│   ├── App.tsx             # Root component
│   └── index.css           # Global styles
└── public/                 # Static assets

• npm run dev - Start development server
• npm run build - Build for production
• npm run lint - Run ESLint
• npm run test - Run tests

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

• Chess.js for chess logic
• React-Chessboard for the chessboard component

For support, please open an issue in the GitHub repository or contact the maintainers.

• Save and load training progress
• Opening statistics and analytics
• Multiple variation support
• Custom opening creation
• Spaced repetition training