Chess Project

The Intelligent Chess Player AI project is a desktop-based chess application

implemented in Python that combines a graphical user interface with a rule

compliant chess engine and an adversarial search-based artificial intelligence

system. The project integrates classical chess AI methodologies, including

Minimax search, Alpha-Beta pruning, positional evaluation heuristics, and

move ordering optimizations.

The system is designed to provide an interactive human-versus-AI chess

experience while demonstrating the architectural and algorithmic foundations

of traditional game AI systems.

The implementation follows a modular design structure composed of:

A graphical application layer (main.py)

A chess engine and rule system (engine.py)

An AI search and evaluation subsystem (ai.py)

The project prioritizes:

Correct chess rule enforcement

Efficient move generation

Strategic AI gameplay

Maintainable modular architecture

Educational clarity of implementation