AgroScan is an intelligent, offline-first crop disease diagnosis tool designed for farmers in rural areas with low internet access. By combining a lightweight web app, offline image classification, and SMS-based diagnosis, AgroScan ensures every farmer, anywhere, can detect plant diseases quickly and reliably.
Smallholder farmers often struggle with crop diseases due to lack of access to agricultural experts or digital tools. AgroScan bridges that gap by allowing farmers to:
- 📸 Upload or capture an image of their crop
- 🧠 Diagnose it instantly with a preloaded machine learning model
- 📱 Alternatively, send an SMS with symptom details for diagnosis
- 📊 Get recommendations on treatment and nearest help centers
All in a lightweight, offline-compatible, and mobile-first solution designed for 2G/3G networks.
- 🧠 Offline Mode with a pre-trained image classification model
- 📤 Web App Interface that works on low-end smartphones
- ✉️ SMS Support for diagnosis on feature phones
- 🔒 Privacy-first: No constant internet needed
- 🎯 Designed for underserved farming communities
| Layer | Stack |
|---|---|
| Frontend | HTML, CSS (Tailwind), JS(React) |
| Backend | Node.js / Python (TBD) |
| ML Model | TensorFlow Lite (TFLite) |
| SMS Support | Twilio / Africa’s Talking |
| Hosting | GitHub Pages / Netlify |