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Predicting COVID-19 for Chest X-Ray images using Deep Learning (CNN)

A system that can predict pneumonia from X_Ray image compliment with RPA workflow

About

This project is a submission from a 2-day mini AI-thon organized by Skymind

Achievement

1st - First place

Aim

To assist the healthcare industry by sending covid-19 diagnosis result directly from the radiologist to the doctors to avoid human intervention, complementing with RPA workflow to avoid iterative process.

Technology

Deep Learning CNN, Web Api, Robotic Process Automation (RPA)

technology

Workflow

workflow

How to deploy the webapp

Download h5 file: https://drive.google.com/file/d/1scqgXosKhmHqj7b5dKrL2LGoyBeFMVJ3/view?usp=sharing

pip install -r requirement.txt
cd webapp/
env FLASK_APP=predict_app.py Flask run --host=localhost

and then open http://localhost:5000/static/predict.html

How to run ipynb file

pip install -r requirement.txt
jupyter lab 

How to run RPA

1. Download UIPATH: https://cloud.uipath.com/iiumxzcsuyg/portal_/home
2. Open Project folder "CovidDiagnosisProcess"
3. Change the URL as needed

Contributors

1. Chan Kuok Hong/Rex Chan
2. Muhammad Laziem Bin Shafie
3. Muhammad Amiruddin Bin Bustaman
4. Rehan Shahid

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Pneumonia symptom prediction system with CNN

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