Built an image-to-image translation system using Pix2Pix, training a conditional GAN on paired image datasets to generate transformed outputs from input images. Managed the full workflow from data preprocessing and model training to evaluation and deployment. Integrated the trained model into a web application, enabling users to upload images and receive real-time or near-real-time generated results through an interactive interface. The project demonstrated practical experience in deep learning, computer vision, and deploying ML models in user-facing applications.