Fadihasnaoui/Esprit-PI-4ds10-2025-2026-sanIA

This project was developed as part of the PIDEV – 2nd Year Engineering Program at Esprit School of Engineering – Tunisia (Academic Year 2025–2026). Main Technologies: FastAPI, React, PostgreSQL, Docker, Unity (Digital Twin).. 🌱 SanIA — Smart Agriculture Intelligence Best Project Award — Data Science Engineering, ESPRIT 2025–2026 🏆 SanIA is an end-to-end precision farming platform that combines AI, IoT, and 3D digital twin technology to help farmers monitor crops, detect diseases, automate irrigation, and get intelligent agronomic advice — all from a single system. 🎥 Demo Video youtu.be 🚀 Key Features ModuleDescription🌿 Crop Disease DetectionCNN-based mobile app that identifies plant diseases from leaf photos in real time🏗️ 3D Digital TwinInteractive Unity-based 3D model of the farm with live IoT sensor data🤖 RAG ChatbotLLM-powered agricultural assistant using Retrieval-Augmented Generation💧 Smart IrrigationIoT-automated irrigation system triggered by soil and weather sensor data🛰️ Satellite + Sensor MonitoringField health monitoring combining satellite imagery and ground-level IoT sensors📱 Mobile AppReact Native app for disease detection, chatbot access, and IoT dashboard 🛠️ Tech Stack AI / ML Computer Vision (CNN) — crop disease classification RAG pipeline — LLM + vector database for agronomic Q&A FastAPI — model serving backend Frontend & Mobile React Native — cross-platform mobile app Unity — 3D digital twin visualization Backend & IoT Node.js / Express MQTT / IoT sensor integration Satellite data processing 📁 Project Structure sanIA/ ├── mobile-app/ # React Native app ├── digital-twin/ # Unity 3D farm model ├── disease-detection/ # CNN model + FastAPI ├── rag-chatbot/ # LLM chatbot backend ├── iot-irrigation/ # IoT automation scripts └── backend/ # Main API server 👥 Team 4th Year Data Science Engineering — ESPRIT, Group 4DS10 Academic Year 2025–2026 🏆 Recognition 🥇 Selected as one of the best projects of the Data Science Engineering department — ESPRIT Bal des Projets 2026 Built with ❤️ for Tunisian agriculture