Chess Computer Vision Project

Here are a few use cases for this project:

1. Automated Chess Games Analysis: This model can be used to input and analyze games from physical chess boards in real-time or from photographs. It can transform these games into digital versions for further analysis, suggestions, or tracking player performance.

2. Developing Intelligent Chess Bots: The "Chess" model can aid in developing AI-based chess software/bots, which can recognize the state of the game by visually analyzing the chess board and decide the next move.

3. Assistive Technology for the Visually Impaired: It can be applied for developing applications assisting visually impaired people to play chess, by recognizing chess board state and using speech to tell the state or the possible moves.

4. Chess Learning and Coaching Apps: The model can be incorporated into educational applications that teach users how to play chess, understand chess movements, or improve their strategies. The app could provide real-time recommendations by recognizing the position of pieces on the board.

5. Cheat Detection in Competitive Chess: In competitive or online chess playing platforms, the model can be used to monitor games and detect anomalous activities or cheating attempts, such as piece position changes in a non-standard manner.