OussemaHarrabi/EL_baraka-SA79-

# 🌾 AL BARAKA (البركة) - Smart Irrigation System **WiEmpower Hackathon Project** *Empowering Tunisian Women Farmers with AI-Powered Irrigation* A mobile-first web application designed for rural Tunisian women farmers (like Mabrouka) to manage irrigation intelligently using AI, IoT sensors, and conversational interfaces in Tunisian Arabic dialect. --- ## 🎯 Project Overview AL BARAKA is a complete smart irrigation solution that combines: - 🤖 **AI-Powered Recommendations** (GPT-4 + RAG) - 📱 **Mobile-First Interface** (Tunisian Arabic) - 🌡️ **IoT Sensor Integration** (Soil moisture, temperature, weather) - 💧 **Automated Irrigation Control** (Start/Stop pump remotely) - 📊 **Predictive Analytics** (7-day irrigation forecasts) - 🗣️ **Conversational Stories** (Natural language explanations) --- ## 🏆 Hackathon Missions Coverage ### ✅ Mission 1: IoT Integration & Data Collection **Status:** COMPLETE ✅ **Implementation:** - Real-time sensor data collection (soil moisture, temperature, humidity) - Weather API integration (Open-Meteo) - Historical data storage and retrieval - Mock data fallback for demo purposes **Files:** - `backend/services/weather_service.py` - Weather API integration - `backend/models/sensor_data.py` - Sensor data models - `src/services/irrigationService.js` - Frontend API integration **Features:** - ✅ Real-time sensor readings - ✅ Weather forecast integration - ✅ Historical data tracking - ✅ Automatic data refresh (10-second intervals) --- ### ✅ Mission 2: AI-Powered Decision Making **Status:** COMPLETE ✅ **Implementation:** - GPT-4 integration for irrigation recommendations - RAG (Retrieval-Augmented Generation) for context-aware advice - Tunisian Arabic dialect responses - Confidence scoring for recommendations **Files:** - `backend/services/ai_service.py` - GPT-4 integration - `backend/services/rag_service.py` - RAG implementation - `backend/routers/irrigation.py` - AI recommendation endpoints **Features:** - ✅ Intelligent irrigation reco …