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A highly modular Object-Oriented AI framework and interactive lab implemented in Python. Features automated benchmarking, pluggable solver engines, and interactive Pygame visualizers for Search, CSPs, Optimization, and Adversarial Games.
Finds every optimal Rubik's cube cross with an exact 190,080-state pattern database, then measures how the cross affects solve time across 750 of my own csTimer and smart-cube solves.
Interactive N-Puzzle solver and performance analyzer utilizing advanced heuristics (Linear Conflict, PDBs) to empirically evaluate time and space complexities.