AI Chess Game with Multiple Modes (Python, Pygame, Minimax AI) I developed a feature-rich Chess game using Python and Pygame, designed to provide both an engaging gameplay experience and learning support for players. The application includes multiple game modes such as local 2-player gameplay, AI-based gameplay with adjustable difficulty, tutorial scenarios (Mate in 1 and Mate in 2), and a spectator mode where AI plays against itself. The AI is implemented using the Minimax algorithm with Alpha-Beta pruning, optimized with an evaluation function based on material balance and positional scoring (piece-square tables). Key features include: • Complete chess rule implementation (castling, en passant, pawn promotion) • Check, checkmate, stalemate, and draw detection • Interactive GUI with move highlighting and move history • Undo, reset, save/load game functionality • Timer system and pause/resume support • Multiple board themes and sound effects • Hint system for move suggestions The project follows a modular architecture with separate components for board management, move validation, AI logic, and user interface. This project demonstrates strong skills in algorithm design, game logic implementation, and GUI development using Python.