Project Description - Board Game AI Agent

Basic (7 Marks):

1. Implement an AI agent for a board game Checkers.
2. You can implement it using Prolog or Python.
3. In case of Prolog, play against a human; in case of Python, it's computer vs. agent.
4. Implement the Minimax algorithm. (2 Marks)
5. Attached is an example for a Connect 4 project setup in Python, which takes input from the game and performs actions based on your selected column. Connect 4 Example. Feel free to use it as a reference or choose another board game.
6. Refine the AI agent using the Alpha-Beta pruning algorithm. (4 Marks)
7. Feel free to use any AI tool (ChatGPT, Copilot) to help with the project.
8. Create a GitHub repository for the project with a minimum of 5 commits, with each team member contributing at least 1 commit that contains significant changes. (1 Mark)

Bonus (3 Marks):

1. Implement a GUI to select the algorithm type and difficulty level of the game. (1 Mark)

Submission Folder to Include:

a. Source code b. Link to GitHub repo c. Link to LinkedIn post (if it exists) d. Screenshots of conversation (if it exists) e. Graph (if it exists)

Team Members:

• Omar Waleed
• Ahmed Ali
• Mohammed Alaa
• Mostafa Ahmed
• Yassin Abd-Elgany