Developed a deep learning-based system for retinal disease classification using the OCT2017 medical imaging dataset. The project involved: • Image preprocessing and augmentation • CNN implementation and evaluation • Vision Transformer experimentation • YOLOv11-based detection pipeline • Performance comparison between models • Visualization and analysis of results Technologies: Python, TensorFlow, PyTorch, OpenCV, Google Colab