Chess-Bot

This repository contains a Python-based Chess Bot built using the python-chess library. The bot is designed to play chess autonomously and incorporates several advanced features and strategies to ensure a challenging experience for users.

Project Overview

The Chess Bot leverages the Minimax algorithm with Alpha-Beta Pruning for efficient decision-making during gameplay. It evaluates board positions using a combination of multiple evaluation functions, allowing it to balance strategic and tactical considerations.

Key Features

• Move Validation: Ensures only legal moves are made during the game.
• Customizable Gameplay: Supports bot vs. bot modes.
• Minimax Algorithm: Implements depth-limited Minimax for decision-making.
• Alpha-Beta Pruning: Optimizes Minimax by pruning unpromising branches, reducing computation time.
• Evaluation Functions: Uses a mixture of evaluation strategies, including:
  • Material advantage.
  • Piece positioning and mobility.
  • King safety.
  • Control of the center.

Repository Contents

• Chess_Bot.ipynb: Jupyter Notebook containing the Chess Bot implementation.

Prerequisites

General Requirements:

• Python 3.7 or later
• Jupyter Notebook

Python Libraries:

• python-chess
• numpy

You can install the required libraries using pip:

pip install python-chess numpy

Getting Started

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/chess-bot.git
   cd chess-bot

2. Launch Jupyter Notebook:

   jupyter notebook

3. Open and run the Chess_Bot.ipynb notebook.

4. Follow the instructions within the notebook to:

   • Play against the bot.
   • Watch bot vs. bot games.
   • Analyze the bot's decision-making process.

Usage Instructions

• Start the game by specifying whether you want to play as white or black.
• Use standard algebraic notation for making moves (e.g., e2e4).
• View the board after each move and monitor the bot's decisions.

Future Improvements

• Integrate a GUI for enhanced user interaction.
• Train and integrate a neural network for improved board evaluation.
• Add support for time controls and chess clocks.
• Incorporate opening book strategies for faster and stronger early-game play.

Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.

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Enjoy playing and experimenting with the Chess Bot! ♟️