A Markov chain is a mathematical model that exhibits the 'memorylessness' property, meaning that the probability distribution of future states depends only on the present state and not on the sequence of events that preceded it. This project leverages the principle of the Markov chain to generate unique images by simulating state transitions of images, including buildings, mazes, and more.