Chinese Checkers

Developing a Python implementation of Chinese Checkers with AI decision-making, multiplayer support, and an interactive graphical interface.

Overview

I built a Chinese Checkers application in Python and Tkinter with local multiplayer and computer-controlled opponents. I implemented the game engine, interface, legal move generation, turn management, win detection, and Minimax-based AI and hints.

Software Design

I used an object-oriented structure to separate game state, interface behavior, and gameplay logic.

The board’s offset rows required coordinate conversions between game positions and screen locations. I used those conversions for rendering, mouse selection, and move validation.

I implemented adjacent moves and chained jumps, along with turn progression and win detection. The interface highlights legal moves and supports animations and timed turns.

Chinese checkers board with the offset grid of pegs — Fig. 1Chinese checkers board

Chinese checkers board highlighting a piece's possible moves — Fig. 2Highlighting possible moves

AI & Algorithms

I implemented Minimax to evaluate future game states and choose moves for computer-controlled opponents. The hint system uses the same search framework to suggest candidate moves to human players.

Results

The completed application integrates human and computer-controlled gameplay in one interface, including legal-move highlighting, chained jumps, turn management, and win detection. Reusing the search framework for both opponents and hints kept the AI behavior within the same game engine.

tools

Python