
AI-Powered Smart Farming
Project case study
AgroAI
A full-stack MERN application for AI-driven pest detection, crop recommendations and data-informed farm decisions.
Problem
Farmers need timely, practical guidance when pests, crop conditions and changing weather affect day-to-day decisions.
Requirements
AI-powered pest detection, crop recommendations, real-time weather data, inventory support and secure workflows for different user roles.
Solution
A full-stack MERN application that combines AI/ML integration, REST APIs, responsive React interfaces and role-based access for farmers, agronomists and administrators.
Result
A single workflow for turning field observations and real-time data into more informed farm-management decisions.
Technology
MongoDB, Express.js, React, Node.js, REST APIs, AI/ML integration and Weather API