Smart Krishi: A Web-Based Platform for Real-Time Agricultural Support and Early Crop Disease Detection Using Machine Learning

Smart Krishi, a web-based platform for real-time agricultural support and early crop disease detection using machine learning.

Smart Krishi, a web-based platform for real-time agricultural support and early crop disease detection using machine learning. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners building full-stack skills: user accounts and roles, a database-backed back end, a responsive front end and deployment.

The main parts are real-time processing of incoming data, secure sign-up with role-based access, a database-backed back end with a clear API, a responsive interface for each type of user, and an admin view to manage records. The reference build uses scikit-learn, Apache Kafka, React, Node.js, and Express, with a clear project structure, setup instructions and sample data so that it can be run and extended.