This article describes a project that uses a genetic algorithm to train simulated cars to learn self-parking behavior. The cars are equipped with muscles (engine and steering), sensors (distance detection), and an evolving neural network brain that learns optimal parking movements over generations, with an interactive browser-based simulator available for experimentation.