AIpacman is an open-source Python project that simulates the Pac-Man game environment for AI experimentation. Users can choose from built-in agents or implement custom ones using search algorithms like DFS, BFS, A*, UCS; adversarial methods such as Minimax with Alpha-Beta pruning and Expectimax; or reinforcement learning techniques like Q-Learning. The framework provides configurable mazes, performance logging, visualization of agent decision-making, and a command-line interface for running matches and comparing scores. It is designed to facilitate educational lessons, research benchmarks, and hobbyist projects in AI and game development.

HumanOrAI is a web-based application that allows users to test their ability to distinguish between genuine human faces and AI-generated ones. The tool utilizes datasets provided by NVIDIA, integrating both real-life images and AI-generated images to create an engaging user experience. Users are presented with images and asked to identify whether each one is a real human or an AI creation, making it both an entertaining and educational activity for understanding advancements in AI facial generation.