Muyunda161/smartagri-zambia

AI-powered smart agriculture app for Zambian farmers SmartAgri Zambia AI-powered smart agriculture app for Zambian farmers SmartAgri Zambia is a mobile application concept that uses AI and weather data to help small-scale and commercial farmers in Zambia make smarter farming decisions — covering localized weather forecasting, planting timing, irrigation, fertilizer scheduling, and pest/climate risk alerts. Project Status Prototype stage — building toward a full Android (Java) application with a Java Spring Boot backend. Core Goal To support small-scale and commercial farmers in Zambia by using mobile technology and AI to provide: - Accurate, localized weather forecasting - Smarter farming decisions - Improved crop productivity and climate resilience See `docs/project-overview.md` for the full project breakdown. Project Structure smartagri-zambia/ ├── README.md ├── src/ │ └── SmartAgriApp.jsx # React prototype (UI/UX + AI advisor demo) └── docs/ └── project-overview.md # Full project plan and vision Features (Prototype) - Dashboard — weather widget, farm stats, daily alerts - Weather — 7-day forecast, rain probability, storm alerts - Crops — crop info, water needs, farming calendar - Recommendations — AI-prioritized action items - AI Farm Advisor — live chat powered by the Claude API, tuned for Zambian farming context Tech Stack Current prototype: React (JSX), CSS, Claude API Planned production build: Java (Android Studio), Java Spring Boot, Claude API Local Context Built with Zambian conditions in mind — supports maize, groundnuts, beans, sorghum, cassava, and sunflower, with a roadmap toward rice. Designed for low-data environments and varying levels of digital literacy. Roadmap - [x] React prototype with AI advisor chat - [ ] Android (Java) UI rebuild - [ ] Java Spring Boot backend - [ ] Live weather API integration - [ ] Offline data caching - [ ] SMS alert integration Author Muyunda — Computer Science student, University of Zambia (UNZA)