IITBOMBAY

Project information

🚀 Project Description

This project aims to empower farmers through AI, IoT, and data-driven automation, transforming traditional farming into a smart, sustainable process. It provides end-to-end guidance — from crop selection to profit generation — using intelligent technologies.

Our system integrates AI-based crop recommendation models that analyze soil, weather, and market trends to suggest the most profitable crops. IoT sensors monitor soil moisture, humidity, and temperature in real time, while CNN-based image processing detects plant diseases and tracks growth stages.

An intelligent Gemini AI assistant generates automated farming schedules for irrigation, fertilization, and maintenance, ensuring optimal yield with minimal manual intervention. The backend, built with Node.js and Express, manages sensor data and communicates with a cloud server for advanced analytics.

The system also includes AI-based hardware sensors that perform on-field edge analysis and sync with the central server for instant decision-making. The React + Vite frontend offers an intuitive dashboard for real-time visualization, alerts, and AI insights.

With features like predictive yield analytics, pest control recommendations, and market trend forecasting, this platform provides farmers a complete technological ecosystem for smart, profitable, and data-driven agriculture. 🌾

Python JavaScript HTML CSS React TypeScript nodejs