AgroSync: IoT-Based Smart Agriculture App
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Table of Contents
Project Links
View GitHub Repository | Project brochure
Project Overview
Developed AgroSync, a major project designed for precision agriculture.The system integrates custom ESP32-based hardware sensors with a mobile application to provide real-time soil analysis and data-driven farming insights.
Key Insights & Impact
ML Recommendation Engine: Implemented a recommendation system with 87% accuracy for crop suggestions based on multi-parameter analysis of soil and weather conditions. IoT & Hardware Integration: Designed and integrated custom ESP32-based sensors to monitor real-time soil health parameters. Full-Stack Development: Built a cross-platform mobile application using React Native and a Flask backend for seamless sensor-to-app communication. Cloud Infrastructure: Utilized Supabase for real-time data storage and management, ensuring high availability for field-deployed sensors.