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A website 🖥 that effectively classifies Covid-19, Pneumonia and Normal Chest X-ray images

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JuhieMotiani/Diagnosticc

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Diagnosticc

It is a Covid-19, Pneumonia and Normal Chest X-ray detection Web-App 🖥 where you can detect the X-ray from the given 3 classes, Flask is used to serve backend with the fronted.

Diagnosticc-logo

Explanation of the Project

  • We've trained the Detection model using two algorithms that is CNN and VGG16. We have used CNN model in Web-app because CNN produced a testing accuracy of 95.17% beating VGG16 by 4%.

  • The Dataset we've used to train our models is here.

  • You can find Colab file to train CNN model from here here.

  • You can find Colab file to train VGG16 model from here here.

  • After training the model, we have created a Flask Web-Application that can easily diagnose the covid-19, pneumonia and normal from the uploaded chest X-ray image.

Project Set-up Guidelines

  1. Dowload or clone this repo and open it in any IDE like VSCode, PyCharm, etc.
  2. Install the required libraries that are neccesary from requirements.txt using pip install -r requirements.txt
  3. Go to the file server.py
  4. Run the code python server.py

Our Results

  1. Testing Accuracy and Graph of the CNN-Model:

CNN-Graph

CNN Testing Accuracy

  1. Testing Accuracy and Graph of the VGG16-Model:

VGG16-Graph

VGG16 Testing Accuracy

Video

You can find the video demonstration of the project from here.

Facing any issues???

Feel free to open an issue. We'll be glad to help you.❤️

Developers

  1. Juhie Motiani
  2. Dhruti Patel
  3. Anjali Patel

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A website 🖥 that effectively classifies Covid-19, Pneumonia and Normal Chest X-ray images

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