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A comprehensive machine learning-powered web application that provides intelligent crop recommendations based on soil and environmental parameters. The system helps farmers and agricultural professionals make informed decisions about crop selection to optimize yield and sustainability.
This repository contains the code for a web application designed to predict heart disease risk using machine learning. The application is built with React for the frontend and utilizes a machine learning model for predictions.