Child photo prediction using GAN

In this project, Generative Adversarial Networks (GANs) were employed to generate realistic images of how a child might look as they grow older. The project aimed to harness the capabilities of GANs in generating high-quality images based on input data, providing valuable insights into potential future appearances. This technology could have various applications, such as assisting law enforcement agencies in missing person cases or helping parents visualize their children’s future appearances.