STEPHENMUCHANGA/shamba-smart

# shamba-smart 🌱 ShambaSmart – AI-Powered Agriculture Platform for Kenya 📘 Overview ShambaSmart is Kenya’s first platform for sustainable agriculture. It leverages modern technology and the MERN stack (MongoDB, Express.js, React.js, Node.js) to transform how farmers, agronomists, and agricultural institutions access real-time insights about soil health, crop recommendations, and climate predictions. The goal is to maximize yields, improve environmental sustainability, and empower Kenyan farmers through technology. 🌍 Core Features Experts' Soil Analysis – Analyze soil nutrient content and health in real time. Crop Recommendations – Expertise'-driven suggestions based on soil data, local weather, and market demand. Climate Insights – Real-time weather data and predictive analytics from Kenya Meteorological Department APIs. County & Sub-County Mapping – Supports all 47 counties, their sub-counties, constituencies, and locations for localized insights. Yield Prediction – Machine learning models forecast yield based on historical and live data. Farm Analytics Dashboard – Interactive charts to track performance, sustainability, and profit metrics. Multilingual Interface – English, Swahili, and French support. Responsive Design – Works seamlessly across desktop and mobile devices. ML Models: Soil Nutrient Prediction Model Crop Recommendation Engine Weather Pattern Prediction Model Yield Estimation Model Data Sources: Kenya Meteorological Department (KMD) API NASA POWER API for climate and solar data Kenya Soil Survey datasets FAO & OpenAgriData repositories 🧩 Tech Stack Layer Technology Frontend React.js, Tailwind CSS, Axios, Chart.js, React Router Backend Node.js, Express.js, RESTful APIs Database MongoDB (Atlas or local), Mongoose ORM AI Layer TensorFlow.js / Flask API for ML models Authentication JWT (JSON Web Tokens), bcrypt.js Cloud Services AWS / Vercel / Render Version Control Git + GitHub DevOps Docker (optional), GitHub Actions for CI/CD 📁 Pr …