A feature-rich Chess AI game built with React.js and Vite. This project implements a powerful chess engine using the minimax algorithm with alpha-beta pruning for intelligent move-making. Play against the AI, or connect with another player for a multiplayer match.
- ✨ Features
- 🧠 How It Works
- 🛠️ Tech Stack
- 🚀 Installation & Setup
- 📁 Project Structure
- 🔮 Future Enhancements
- 🤝 Contributing
- 📝 License
- Intelligent AI Opponent: Play against a challenging AI that uses the minimax algorithm.
- Alpha-Beta Pruning: The AI's decision-making is optimized for performance and speed.
- Move Validation: All moves are validated according to the official rules of chess.
- Interactive UI: A clean, responsive, and user-friendly interface built with React.
- Real-time Multiplayer: (If applicable) Connect and play against another person over the internet using Socket.io.
- Undo Moves: Take back your last move.
- Captured Pieces Display: See all the pieces captured by each player.
- Pawn Promotion: Promote your pawns to any piece when they reach the end of the board.
The project is divided into two main parts: the AI chess engine that decides the computer's moves, and the React frontend that provides the user interface.
The core of the AI is the Minimax algorithm, a decision-making algorithm used in two-player games. It explores a tree of possible future moves to find the optimal one.
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Minimax Algorithm: The algorithm simulates games several moves deep. It assumes the opponent will always play their best move (minimizing the AI's score) and tries to find a move that leads to the best possible outcome for itself (maximizing its score).
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Alpha-Beta Pruning: To make the search faster, we use alpha-beta pruning. This technique safely cuts off branches of the search tree that won't lead to a better result, drastically reducing the number of calculations needed. http://googleusercontent.com/image_generation_content/1
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Evaluation Function: To score a board position, the AI uses a sophisticated heuristic evaluation function. This function assigns a numerical value to a position based on several factors:
- Material Advantage: The total value of pieces on the board (Queen = 9, Rook = 5, etc.).
- Piece-Square Tables (PSTs): Pieces are more valuable on certain squares. For example, a knight in the center of the board is more powerful than one in a corner. The AI uses tables to reward good piece placement. http://googleusercontent.com/image_generation_content/2
The user interface is built as a modern single-page application using React.js and bundled with Vite for a fast development experience.
- Component-Based Architecture: The UI is broken down into reusable components like
ChessBoard,Tile, andCapturedPieces, making the code clean and maintainable. - State Management: React's
Context APIand custom hooks (useBoard) are used to manage the game's state, such as the board position, current turn, and game history. - Interactive Board: The chessboard is rendered dynamically. Clicking on a piece highlights its legal moves, and pieces can be moved with a simple click interface.
- Frontend: React.js, Tailwind CSS
- Build Tool: Vite
- Real-time Communication: Websocket API (Client & Server)
- Backend: Node.js, Express (for the socket server)
Follow these steps to get the project running on your local machine.
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Clone the repository:
git clone [https://github.com/your-username/chess-ai.git](https://github.com/your-username/chess-ai.git) cd chess-ai -
Install frontend dependencies:
npm install
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Navigate to the server directory and install its dependencies:
cd src/server npm install -
Start the backend server: (only for multiplayer)
- From the
src/serverdirectory, run:
node server.js
- The server will start, typically on
http://localhost:3001.
- From the
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Start the frontend development server:
- Go back to the root directory (
cd ../..). - Run the Vite development server:
npm run dev
- Open your browser and navigate to
http://localhost:5173(or the URL provided in your terminal).
- Go back to the root directory (
- Transposition Tables: Cache previously calculated board positions to speed up AI calculations.
- Opening Book: Use a database of standard openings for faster and more standard initial moves.
- More Game Modes: Implement different time controls (Blitz, Rapid) and puzzle modes.
- UI/UX Improvements: Add animations for moves, better visual feedback, and sound effects.
- AI Algorithms: Explore different alternatives for the minimax algorithm such as Monte Carlo Tree Search (MCTS) opimised with neural networks.
Contributions are always welcome! If you have suggestions or want to add a new feature, please:
- Fork the repository.
- Create a new branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.