OthelloAI WebApp

Project Description

An online implementation of the classic Othello board game, featuring an AI opponent driven by the Minimax algorithm to compete with. For an in-depth explanation into the AI's functioning, refer to the project blog.

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How It Works

OthelloAI uses Python and Flask for its back-end, handling game logic and AI opponent operations. On the front-end, it employs AJAX requests to facilitate communication with the server, allowing players to make moves and play against OthelloAI.

Links

• Play OthelloAI.
• Read the Blog:
  • View on Medium
  • View PDF Copy

Repository Contents

Here's a quick overview of what you'll find in this repository:

• Source Code: The src folder is where you'll find the core code for implementing the Othello game logic and AI decision-making processes.

• Testing: In the tests folder, you'll find comprehensive tests to ensure everything works smoothly. To run tests, use the command python -m tests.test from the root directory.

• AI Experimentation: Explore AI functionality in the src/experiments folder, including Minimax algorithm move-time analysis and heuristic insights for Othello.