Chess-AI
simple chess neural network using python, flask and tensorflow
Chess-AI is a personal project where I explored how machine learning can support chess decision-making in a playable web application.
The goal was to combine model experimentation with an end-to-end product, including model training, backend APIs, and an interactive interface.
Tech stack:
- Python and TensorFlow for model development
- Flask for backend/API routing
- Web frontend for move interaction and game flow
My focus areas included model iteration, data handling, and connecting inference output to a practical user flow. This project helped me strengthen the bridge between ML experimentation and software engineering delivery.
Source code and project details are available on GitHub via the link above.