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Tic-Tac-Toe – Minimax with Alpha-Beta Pruning

A terminal-based Tic-Tac-Toe game with an AI opponent implemented using the Minimax algorithm enhanced with alpha-beta pruning. This project was developed as part of the Algorithm Design course at Wrocław University of Science and Technology.

The project demonstrates basic concepts of game AI and decision-making algorithms.


Features

  • Classic Tic-Tac-Toe gameplay
  • Single-player mode against AI
  • AI uses Minimax algorithm with alpha-beta pruning
  • Simple text-based (terminal) user interface

How to run

  1. Clone the repository:
    git clone https://github.com/MANDRW/TicTacToe-MinMax.git

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Simple game with MiniMax algorithm

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