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.

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:

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

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