This project focuses on implementing a Genetic Algorithm to recreate images using randomly generated shapes and colors. Inspired by the concept of biological evolution, the system generates multiple image populations composed of different shapes, evaluates their similarity to the target image, and selects the best-performing candidates. Through repeated processes of selection, crossover, and mutation, the algorithm gradually evolves images that closely resemble the original photo. A user-friendly interface is included, allowing users to upload their own images and observe the entire regeneration process through a generated video. The project demonstrates the practical application of evolutionary computing techniques in image processing and creative visual generation.