This project provides a virtual clothing try-on system that takes a person image and a garment image, then generates a composite showing the person wearing that garment. It combines pose estimation to detect body keypoints, segmentation to isolate the person and garment, and a GAN-based model to synthesize realistic try-on results. The repository includes a Gradio interface for easy interaction and runs as Jupyter notebooks.