I developed a Glaucoma Detection System using Python and a pre-trained U-Net segmentation model. The system processes retina images captured with an ophthalmoscope, leveraging the segmentation model to extract the optic disk and optic cup. By calculating the ratio of these features, the system determines the probability of glaucoma damage. This project highlights my expertise in medical imaging, machine learning, and leveraging segmentation models for healthcare applications.