- Studied diabetic retinopathy, utilizing image augmentation techniques such as zooming (±1%) and brightness adjustment (±20%). - Tested multiple deep learning models, including VGG16, VGG19, Xception, and InceptionV3, achieving the highest test accuracy of 84.89%.