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Leaf Disease detection Using Deep Learning


Detection of Leaf Disease using sample leaf images is a computer vision based deep learning project utilizing advanced Convolutional Neural Networks (CNNs). With its advanced algorithms and intuitive design, this system is a Proof-of-Concept for detecting Leaf diseases from sample leaf images. Moreover, it includes a robust Flask web app that employs HTML, Javascript, CSS, and Flask with Python for the backend, making it highly versatile and user-friendly.
This tool offers immense value to professionals seeking to showcase their expertise in computer vision. By incorporating this project into your profile, you can demonstrate your proficiency in building and implementing complex predictive models, impressing potential employers and clients alike.

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Project Includes:

  1. Demo  Video
  2. Abstract
  3. Flask App
  4. Model building code (Jupyter Notebook)
  5. Synopsis
  6. Full Project Documentation
  7. Architecture Diagram
  8. Reference Papers
  9. Full Project Documentation
  10. Online support


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