Glaucoma diagnosis using deep learning and explainable AI
Independently managed a dataset of ~10,000 medical images while designing and training deep learning models for glaucoma diagnosis. Produced structured technical documentation throughout development to support traceability, maintainability, and clear communication of design decisions. Demonstrated end-to-end project ownership through research, implementation, and evaluation of explainable AI techniques. Achieved 74% for this dissertation project.