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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