Inspiration
In light of the Covid-19 pandemic, the world has seen a Chess boom. From Twitch to Youtube, we can see chess being played everywhere. Thousands of people are signing up on online platforms to get better at the game, which is extremely saddening?! The authors of this project take their ideals very seriously and will, by all means, do what it takes to stand out of the crowd, even if it means practicing to get worse at the game.
What it does
Maya Chess AI is a tool we built to help people deteriorate their gameplay. People do not realize how difficult it is to get worse at the game, and we wish to assist them in the task while also supplementing their efforts.
How we built it
Keeping in mind the AI theme for this year, we decided to use Azure TTS to create our video. Chess AI normally employs the minimax algorithm (along with alpha-beta pruning for optimization). The Minimax algorithm is an algorithm that performs a tree search from the current position to find the best moves. We tweaked the algorithm and the piece evaluation in way such that it now finds the worst (/almost worst) moves.
Challenges we ran into
Configuring the algorithm took plenty of time cause it would give unexpected behaviour and debugging was difficult. Learning SSML
Accomplishments that we're proud of
To finally get this up and running
What we learned
Lots of web development and How a chess engine works
What's next for Maya Chess AI
Better Algorithms and Neural Network support to make sure it gets worse :)



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