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.
Website Preview:
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.
- Play OthelloAI.
- Read the Blog:
Here's a quick overview of what you'll find in this repository:
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Source Code: The
srcfolder is where you'll find the core code for implementing the Othello game logic and AI decision-making processes. -
Testing: In the
testsfolder, you'll find comprehensive tests to ensure everything works smoothly. To run tests, use the commandpython -m tests.testfrom the root directory. -
AI Experimentation: Explore AI functionality in the
src/experimentsfolder, including Minimax algorithm move-time analysis and heuristic insights for Othello.