–Collaborated on a Pix2Pix GAN image restoration project using U-Net Generator and PatchGAN Discriminator. –Web-scraped 54,380 images via Selenium and applied Gaussian noise and motion blur for dataset corruption. –Attained results: SSIM 0.9235, PSNR 28.69, LPIPS 0.0979, with 0.18 ms/image inference –Designed an interactive Streamlit web application for real-time restoration of corrupted images to clean versions