smwaingeni-ai/agrix_beta_2025

Offline AI-powered Assistant for African Farmers and Economies # 🌱 AgriX Beta 2025 – AI-Powered Agricultural Assistant AgriX Beta 2025 is an **offline-first**, AI-powered mobile and web application that empowers African **farmers**, **traders**, **agricultural officers**, **investors**, and **government stakeholders**. Built for the **Africa Deep Tech Challenge 2025**, it delivers scalable, intelligent agricultural services to underserved rural communities. --- ## 🌍 Why AgriX? - 🛰️ Rural farmers often lack reliable internet or access to expert advice - 📱 Officers and governments need scalable tools for monitoring and support - 💰 Investors lack verified farmer data to make smart investment decisions **AgriX bridges this gap using:** - ✅ Offline AI Models (Crop, Soil, Livestock) - ✅ Role-Based Dashboards - ✅ QR-Verified Identities - ✅ Modular Design for Farmers, Traders, Officers, and Investors --- ## 👤 Role-Based Features ### 👩🏾‍🌾 Farmers - 📷 Image-based diagnosis (crops, livestock) - 🧪 Soil health & treatment advice - 📊 Credit scoring & loan applications - 🛒 Marketplace for trading goods - 📚 Training & sustainability logs ### 🧑🏾‍🌾 AREX Officers - ✅ Assign and log farmer support tasks - 🧾 Conduct field assessments and visits - 📈 Track training programs and impact - 📚 Sustainability and compliance monitoring ### 💸 Investors - 📝 Register and post investment offers - 🤝 Create & digitally sign investment agreements - 📃 Track investments and agreement statuses ### 🛍️ Traders - 📦 List and manage product, crop, or livestock offers - 🔄 Barter, buy, or sell directly with farmers - 🗨️ Communicate via built-in chat ### 🏛️ Government Officials - 💵 Monitor and track subsidies - 📊 Analyze regional reports - 🔔 Deliver policy updates and alerts --- ## 🤖 AI & Technology Highlights - 🧠 TensorFlow Lite (TFLite) for offline AI diagnosis models - 📷 ImagePicker for crop/livestock/soil uploads - 🔐 Biometric authentication and secure session handling - 📱 Flutter-based web + mobile deployment - 💾 SharedPreferences + Local JSON + optiona …