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Chess AI - Utkarsh

A Chess AI project built with Python, using algorithms and techniques to enable the AI to play chess at an advanced level.

Table of Contents

Overview

This project implements a Chess AI capable of playing against human players. It uses a combination of search algorithms and heuristics to make decisions, aiming to play optimal moves based on the current state of the board.

Features

  • Supports all standard chess moves and rules, including castling, en passant, and pawn promotion.
  • AI uses Minimax algorithm with Alpha-Beta Pruning for efficient move searching.
  • Implements a basic evaluation function to assess board positions and make strategic moves.

Installation

To set up the Chess AI on your local machine, follow these steps:

  1. Clone the repository:

    git clone https://github.com/proutkarsh3104/Chess-AI-Utkarsh.git
cd Chess-AI-Utkarsh

  2. Install the required dependencies:

    pip install -r requirements.txt

  3. Run the game:

    python main.py

Usage

  1. Run main.py to start the game.
  2. Use the on-screen instructions to make moves and play against the AI.

AI Mechanics

This Chess AI is built using the Minimax algorithm with Alpha-Beta Pruning, optimizing its decision-making process by evaluating potential moves up to a specific depth. The AI calculates moves based on a scoring system that assigns values to pieces and board control.

Future Improvements

  • Improve evaluation function for better strategic play.
  • Implement a GUI for easier interaction.
  • Add difficulty levels by adjusting the search depth.

Contributing

Contributions are welcome! Please fork this repository, make your changes, and open a pull request.

  1. Fork the project
  2. Create a feature branch (git checkout -b feature/NewFeature)
  3. Commit your changes (git commit -m 'Add new feature')
  4. Push to the branch (git push origin feature/NewFeature)
  5. Open a pull request

Video

![Watch the video]

License

This project is licensed under the MIT License.