A trainable chess engine with an integrated GUI which uses linear regression to make decisions.

1. The chess engine is trained using the games played by renowned players.
2. The engine makes use of a feature computer which returns a vector of feature values given a board state.
3. Upon receiving this vector, it is matched with the knowledge base.
4. The ability to match board states is learned using linear regression.
5. After matching, the move to be played is determined from the board state closest to the current state.

1. Execute the python script chess_engine.py
2. Log on to http://localhost:5000 in your browser.
3. Select one of the following modes,
   1. Training mode: Train your chess engine.
   2. Testing mode: Play a game of chess against your chess engine. Theme of the chess pieces and style of board can be changed from the files testing_page.html and index.js.

Mode selection menu

Chess engine training in progress

Chess engine playing with black pieces

Chess engine playing with white pieces