Unbeatable Tic-Tac-Toe AI Agent

This project features an AI agent that plays the classic game of Tic-Tac-Toe against a human player, utilising advanced algorithms such as Minimax with Alpha-Beta Pruning to guarantee an unbeatable experience.

Project Overview

The AI agent in this project is designed to provide an unbeatable challenge to human players in the classic game of Tic-Tac-Toe. By implementing the Minimax algorithm with Alpha-Beta Pruning, the AI evaluates and selects optimal moves to ensure victory or a draw in every game.

Features

• Unbeatable AI: The AI agent is programmed to make optimal moves using the Minimax algorithm with Alpha-Beta Pruning, guaranteeing a challenging and unbeatable experience for human players.
• Interactive Gameplay: Players can engage with the AI agent in a traditional Tic-Tac-Toe game interface, experiencing the thrill of playing against a formidable opponent.

Technologies Used

• Python: The AI agent's logic and game implementation are written in Python.
• Pygame: The graphical user interface for the Tic-Tac-Toe game is designed using the library to enhance user experience.
• Minimax Algorithm: The AI uses the Minimax algorithm to make strategic moves and decisions.

Installation

To run the Tic-Tac-Toe game with the AI agent, ensure you have Python and Pygame installed on your system. You can install Pygame using the following command:

pip install pygame

Usage

Run the Python script to start the unbeatable Tic-Tac-Toe AI game. Follow the game instructions to change game modes and experience the thrill of a challenging game. Version 2: Ultimate TicTacThinker Game

Game Instructions

• press 'g' to change game mode (ai or pvp)
• press '0' to change ai level to 0 (random)
• press '1' to change ai level to 1 (impossible)
• press 'r' to restart the game

Game Snapshots

• Snapshot 1 - Start

• Snapshot 2 - Circle Win

• Snapshot 3 - Cross Win

• Snapshot 4 - Draw/Tie

Customisation

The AI agent's difficulty level and gameplay experience can be customised by adjusting the depth of the Minimax algorithm and fine-tuning the Alpha-Beta Pruning parameters.

Support and Contribution

If you encounter any issues with the AI agent or have ideas for improvement, please open an issue in the repository. Contributions are welcome through pull requests.

License

This project is licensed under the MIT License • LICENSE.

Challenge yourself against the unbeatable Tic-Tac-Toe AI agent and experience the thrill of strategic gameplay!