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Uses a Convolutional Neural Network to classify X-Rays as COVID, NORMAL, or VIRAL PNEUMONIA.

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CoronaDiagnosis

Uses a Convolutional Neural Network to diagnose COVID-19. The CNN classifies X-Rays to diagnose images as COVID-19, NORMAL, or VIRAL Pneumonia

About the Scripts Directory: The covid.py file contains all of code for the Convolutional Neural Network. It has code to preprocess the images, create the layers of the neural network, and make predictions on either single images or sets of images. It also has code for a confusion matrix. The COVID.ipynb file is just the Jupyter Notebook version of covid.py. The Notebook contains important figures.

Instructions on How to Use this WebApp:

  1. Clone this repo
  2. Navigate to the webapp directory and create a virual environment using python3. If you do not have virtualenv installed. Do pip install virtualenv. Once you have virtualenv, perform the command python3 -m venv venv. This creates a virtual environment. Activate the virtual environment by writing source venv/bin/activate Download the necessary libraries including flask, numpy, tensorflow.
  3. Do FLASK_APP=app.py
  4. Do flask run
  5. The app should then be good to go!

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Uses a Convolutional Neural Network to classify X-Rays as COVID, NORMAL, or VIRAL PNEUMONIA.

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