https://github.com/abshar-shihab/tic-tac-toe-game---mastermind-vs-you
Welcome to the Tic-Tac-Toe Game! This is a C++ implementation of the classic Tic-Tac-Toe game, where you can play against a friend or challenge a computer AI that strives to win using strategic moves.
https://github.com/abshar-shihab/tic-tac-toe-game---mastermind-vs-you
ai cplusplus-project-beginners semester-project tic-tac-toe tic-tac-toe-game
Last synced: about 1 month ago
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Welcome to the Tic-Tac-Toe Game! This is a C++ implementation of the classic Tic-Tac-Toe game, where you can play against a friend or challenge a computer AI that strives to win using strategic moves.
- Host: GitHub
- URL: https://github.com/abshar-shihab/tic-tac-toe-game---mastermind-vs-you
- Owner: Abshar-Shihab
- Created: 2024-08-02T06:25:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-02T06:32:56.000Z (over 1 year ago)
- Last Synced: 2025-06-12T00:06:11.812Z (6 months ago)
- Topics: ai, cplusplus-project-beginners, semester-project, tic-tac-toe, tic-tac-toe-game
- Language: C++
- Homepage:
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Tic-Tac-Toe-Game---Mastermind-vs-You
Welcome to the Tic-Tac-Toe Game! This is a C++ implementation of the classic Tic-Tac-Toe game, where you can play against a friend or challenge a computer AI that strives to win using strategic moves.
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## Features
- **Play Modes**:
- **Player vs. Player**: Play against a friend locally.
- **Player vs. Computer**: Compete against an AI that predicts and counters your moves.
- **Smart AI**: The AI is designed to make strategic decisions, making the game challenging and fun.
- **Clean and Simple Interface**: Easy-to-use console-based UI for a straightforward gaming experience.
## How to Play
1. Clone the repository.
2. Compile the C++ code using a C++ compiler.
3. Run the executable and choose your game mode.
4. Enjoy the game!
## How It Works
The AI uses a decision-making algorithm to predict and select the best possible moves. The algorithm evaluates the current board state and attempts to either win or block the player's winning move.