Tic-Tac-Toe with AI 🎮🌸

A classic Tic-Tac-Toe game with an unbeatable AI powered by the Minimax algorithm with Alpha-Beta Pruning. Built in C++ using Raylib for interactive graphics, this project combines smart gameplay and aesthetic design to create an engaging and fun user experience.

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Features

• Minimax Algorithm with Alpha-Beta Pruning 🩷

  • The AI always makes the best possible move, ensuring a challenging and fun game for the player.
  • Handles ties and all edge cases, providing a seamless gameplay experience without unexpected results.

• Modern Visuals 🩷

  • Background that smoothly transitions between calming pastel colors, creating a relaxing atmosphere.
  • Glowing gridlines that add a touch of elegance to the classic Tic-Tac-Toe layout.
  • Dynamic hover effects on the grid to enhance interactivity and make the game feel responsive.

• Gameplay Features 🩷

  • Automatic game reset after each round with a clear display of the result.
  • Fun and interactive UI feedback that changes based on the outcome (win, loss, or draw).
  • Smooth animations for transitions between different states, such as player moves, AI moves, and game resets.

• Beginner-Friendly Code 🩷

  • A simple modular structure designed for easy understanding and customization. Perfect for those who wish to learn how to create games with AI and graphics programming.

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Description

This project demonstrates the following:

• Game AI Design 🩷

  • The implementation of a smart AI using the Minimax algorithm with Alpha-Beta Pruning. This allows the AI to analyze possible game outcomes and make the optimal move, ensuring that the player will always face a worthy opponent.
  • The AI's ability to handle all game scenarios—wins, losses, and draws—provides a highly interactive and intelligent opponent.

• Graphics Programming 🩷

  • Raylib is used to handle graphics and user interface (UI) elements. The intuitive graphics programming provided by Raylib makes it easy to create beautiful and responsive visual effects.
  • The game board has been designed to ensure smooth visual feedback, such as highlighting the selected cells during gameplay and displaying results at the end of each game.

• Algorithm Optimization 🩷

  • The Minimax algorithm is optimized with Alpha-Beta Pruning to increase efficiency by eliminating branches of the game tree that do not need to be explored. This ensures the AI makes decisions quickly, even in more complex game states.

• C++ Concepts 🩷

  • The project covers a variety of key C++ concepts, including arrays, functions, control structures, and logical flow.
  • It provides a great starting point for anyone looking to understand game AI, algorithms, and interactive programming.

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Game Screenshots

Group Members

• Fatima Khan
• Rania Imran
• Laiba Aminani
• Javeria Ziad

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📚 Resources And Guidance Used

• Raylib Documentation: A comprehensive guide to using Raylib for graphics programming and game development.
• Minimax Algorithm Tutorials 🩷: These tutorials provided essential insights into creating optimal decision-making algorithms for games.
• General Inspiration 🩷: Classic games and modern UI principles inspired the game's design and flow, ensuring that the user experience is both enjoyable and user-friendly.
• Dr Murk Marvi 🩷: DSAA Lecturer @ NEDUET Karachi

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