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.
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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%.
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The Dataset we've used to train our models is here.
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You can find Colab file to train CNN model from here here.
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You can find Colab file to train VGG16 model from here here.
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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.
- Dowload or clone this repo and open it in any IDE like VSCode, PyCharm, etc.
- Install the required libraries that are neccesary from requirements.txt using
pip install -r requirements.txt - Go to the file
server.py - Run the code
python server.py
- Testing Accuracy and Graph of the CNN-Model:
- Testing Accuracy and Graph of the VGG16-Model:
You can find the video demonstration of the project from here.
Feel free to open an issue. We'll be glad to help you.❤️