Inspiration

The idea that we could help doctors in identifying lung diseases, and save their time so they can help with much more urgent matters.

What it does

It checks the uploaded IMG with a set of data representing normal lungs and detects if the uploaded lungs are infected

How we built it

We built it using Python

Challenges we ran into

Increasing the accuracy of our tests

Accomplishments that we're proud of

We achieved almost about 90% accuracy

What we learned

Gained a deeper understanding of machine learning using python

What's next for Lung disease test

Building a polished Web app where a user can run tests 24/7, also refining the code

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