A deep learning model that detects crop diseases from leaf photographs with 94% accuracy. Built to help smallholder farmers in Kenya identify plant diseases early.
Trained on 50,000+ images across 38 disease classes using transfer learning on ResNet50. Deployed as a REST API and mobile-friendly web app.