J02 : Cataract Attack App: ML Powered Cataract Diagnosis using User Taken Images


Students Devan Hazra
School HDSB - W. H. Morden Public School - Oakville
Level Junior 7/8 - Grade 7
Group Group 2 - Engineering and Computing I
Abstract This project aims to develop an ML model using PyTorch to diagnose cataracts from digital images. Users take these images themselves for analysis, and the app is intended to help those without access to opticians, living in remote areas, or facing mobility issues. The model is trained on a public dataset created in collaboration with multiple hospitals, ensuring diverse and reliable data for accurate diagnosis.
Awards
Group Award Prize
Merit AwardsBronze Merit Award$ 60