Inspiration

Got the idea from a club project

What it does

Detects PD from spiral drawing

How we built it

Tensorflow model -> port to javascript -> webpage

Challenges we ran into

A lot, like figuring out how to debug a webpage (i've never done this before), converting canvas data to tensorflow tensor format, porting a python tf keras model to javascript, and hosting JSON + bin files on https for the model transfer

Accomplishments that we're proud of

Building an 87.5% accurate ML model for PD detection using static spiral tests

What we learned

What's next for Parkinson's Detection Spiral Test

Fix the model's implementation (bug that leads to printing the same value every time), implement other tests like the clock test or dynamic spiral test

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