Minesweeper AI is an implementation of the classic Minesweeper game, featuring a built-in AI agent to assist or automatically play the game. The game is built using Python and Pygame.

• Classic Minesweeper gameplay with adjustable board dimensions and mine count
• AI agent to assist with gameplay or autoplay
• Autoplay speed control
• Option to show or hide AI's inference on safe and mine cells
• Attractive and responsive user interface

1. Install Python 3.7 or later from https://www.python.org/downloads/
2. Clone this repository or download and extract the ZIP file
3. Install the required dependencies: pip install pygame
4. Run the game: python Runner.py

• Left-click on a cell to reveal it
• Right-click on a cell to flag it as a mine
• Use the buttons on the right side to control AI and game settings
• Win the game by flagging all mines correctly

• The AI agent can make safe moves and random moves based on its knowledge
• The agent can mark cells as safe or as mines, and updates its knowledge accordingly
• The agent can infer new knowledge from existing knowledge, improving its performance
• Autoplay mode allows the AI agent to play the game automatically with adjustable speed

Contributions are welcome! Feel free to submit a pull request or open an issue to discuss potential changes or improvements.

This project is licensed under the MIT License - see the LICENSE file for details.