ihebbettaibe/fallehaa-WIEACT-hackathon-

Fallehaa: Web-based platform for Tunisian women farmers. Combines semi-autonomous drones with YOLO-based detection for emergencies and crop anomalies, a Raspberry Pi edge unit for real-time alerts, and a digital marketplace to improve knowledge access and fair trade. # 🌾 Fallehaa - WIEACT Hackathon Project **Empowering Tunisian Women Farmers through Technology** Here is the RAG repo : github.com Fallehaa is a comprehensive web-based platform designed to support Tunisian women farmers through innovative technology solutions. The platform combines semi-autonomous drone technology with AI-powered detection systems, edge computing for real-time alerts, and a digital marketplace to improve knowledge access and promote fair trade practices. --- ## ✨ Features and Objectives ### Core Features - **🚁 Semi-Autonomous Drone System**: Automated field monitoring and surveillance - **🤖 YOLO-Based Detection**: Real-time detection of: - Emergency situations (fires, floods, injuries) - Crop anomalies (diseases, pests, irrigation issues) - **📡 Raspberry Pi Edge Unit**: Real-time alert processing and notifications - **🛒 Digital Marketplace**: Fair trade platform connecting farmers directly with buyers - **📚 Knowledge Hub**: Educational resources and best practices for farming ### Project Objectives 1. Enhance farm safety through automated emergency detection 2. Improve crop health monitoring and early anomaly detection 3. Provide real-time alerts to farmers for timely interventions 4. Enable fair market access through a digital marketplace 5. Promote knowledge sharing and agricultural education 6. Support economic empowerment of women farmers in Tunisia --- ## 📊 Datasets Used The project leverages several datasets for training and validation: - **Crop Disease Dataset**: Images of various crop diseases and pests for model training - **Emergency Detection Dataset**: Images for fire, flood, and emergency situation detection - **Agricultural Data**: Local climate, soil, and crop yield data from Tunisian regions - **Custom Annotated Dataset**: Field data collected from drone imagery *Note: Datasets are stored in the `/data` directory. See data/README.md for details.* --- ## 🚀 Installation Instructions …