This project explores the use of Generative Adversarial Networks (GANs) including DCGAN, ACGAN, and ProGAN to create realistic synthetic chest X-ray images. It aims to enhance medical imaging datasets and improve the performance of diagnostic AI models, especially in data-scarce scenarios.