Wycliffe-Sidon/Fahamu-Shamba

# Fahamu Shamba - Inclusive Agricultural Advisory Platform ## Overview Fahamu Shamba is an AI-powered agricultural advisory platform that provides crop recommendations to Kenyan farmers based on environmental, agronomic, and market variables. The system is designed to be inclusive, supporting both smartphone and feature phone users through multiple access channels. ## System Architecture ### 1. Data Collection Layer - **Soil Data**: Kenya Soil Survey API, FAO soil databases - **Weather Data**: Kenya Meteorological Department API, NASA Earthdata - **Crop Cycle Data**: KALRO databases, FAO Crop Calendar - **Market Data**: KNBS API, Ministry of Agriculture market prices - **Farmer Input**: GPS location, land size, irrigation access via USSD/SMS/App ### 2. AI Recommendation Engine - **Model**: Random Forest/Gradient Boosting classifier - **Features**: Soil properties, weather patterns, market trends, farmer constraints - **Output**: Top 3 recommended crops with confidence scores - **Continuous Learning**: Feedback loop from farmer yield reports ### 3. Communication Layer - **Smartphone App**: React Native app with chatbot interface - **USSD**: *123# for feature phone access - **SMS**: Text-based recommendations and alerts - **IVR**: Voice-based advisory system - **Multi-language**: Swahili and English support ### 4. Core Components #### Data Models - Farmer Profile, Soil Data, Weather Data, Crop Data, Market Data - Historical yields, recommendations, feedback #### AI Model Pipeline - Data preprocessing, feature engineering, model training, evaluation - Real-time inference API, model retraining pipeline #### Communication Interfaces - USSD menu system, SMS gateway integration, IVR call flow - Chatbot NLP engine, multilingual response generation ## Technology Stack - **Backend**: Python (FastAPI), PostgreSQL, Redis - **AI/ML**: scikit-learn, pandas, numpy, spaCy - **Frontend**: React Native (mobile), React (web dashboard) - **Communication**: Twilio (SMS/USSD/IV …