Kshitij-Karkera / Plant-Disease-Detection-with-React-and-Python

Plant Disease Detection is a web-based app using React for the frontend and Python (FastAPI, PyTorch) for the backend. It employs a ResNet-based model to identify plant diseases from images, offering farmers and researchers real-time, accurate diagnostics for improved crop health management.

Repository from Github https://github.comKshitij-Karkera/Plant-Disease-Detection-with-React-and-PythonRepository from Github https://github.comKshitij-Karkera/Plant-Disease-Detection-with-React-and-Python

Plant Disease Detection

Plant Disease Detection is a web-based application leveraging React for the frontend and Python (FastAPI, PyTorch) for the backend. It uses an ResNet for deep learning model to identify plant diseases from images, providing farmers and researchers with accurate, real-time diagnostics for better crop health management.

Run Python Model

  cd API
  uvicorn main:app --reload

Run React App

  cd sapling
  npm start

Screenshots

Home Screen

Home Screen

Disease Description

Disease Description

Treatment

Treatment

Feedback Form

Feedback Form

Feedback Acknowledgement

Feedback Acknowledgement

About

Plant Disease Detection is a web-based app using React for the frontend and Python (FastAPI, PyTorch) for the backend. It employs a ResNet-based model to identify plant diseases from images, offering farmers and researchers real-time, accurate diagnostics for improved crop health management.


Languages

Language:Jupyter Notebook 99.0%Language:JavaScript 0.6%Language:CSS 0.2%Language:Python 0.1%Language:HTML 0.0%