AI Crop Disease Prediction
Computer Vision for Farmers
Detects crop diseases from field images using computer vision. Placed 11th at GU Hackathon 2024, recognised at Smart India Hackathon 2024, and presented to 2,000+ attendees at the UP International Trade Show.
Farmers lose a huge share of their yield to crop diseases spotted too late — expert diagnosis is slow, costly, and out of reach for most small farms.
A computer-vision system that detects diseases from a simple field photo in real time, then recommends treatments and plant-care steps — with finance tracking and learning resources built in for farmers.
- Real-time disease detection & prediction from crop images
- AI-powered plant care recommendations
- Educational media resource for farmers
- Finance page to track daily farming expenses
Not just a model demo — a complete farmer-facing product: disease detection, AI care recommendations, educational media, and a daily expense tracker in one place.
6-member university team. My role covered full-stack development with AI/ML, UI/UX, and API integration.
Built a machine learning system using TensorFlow/Keras to identify crop diseases from images. Presented at the UP International Trade Show 2024 to 2,000+ attendees, and recognised at Smart India Hackathon 2024. 11th place at GU Hackathon 2024.
Presented to 2,000+ attendees at the UP International Trade Show 2024, recognised at Smart India Hackathon 2024, and placed 11th at GU Hackathon 2024.