LFT Neural Network Results Detection

Automated verifying of user-submitted LFT results to prevent system abuse. Powered by some convolutional neural network

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Inspiration

Wanted a faster way to submit LFT results

What it does

Asks for user camera/image input to speed up results and verify test outcomes

How we built it

Get a bunch of friends at home to spam us LFT test photos as our dataset – then cropped and sifted for quality. Then used Lobe.ai to create a CNN, export as tensorflow.js and shove it into a React app. Send to Netlify, done.

Challenges we ran into

Tweaking model. Inaccurate results for null tests so leave for later implementation to improve on

Accomplishments that we're proud of

6 hours finished before deadline, no sleep

What we learned

Powered by Cisco™

What's next for LFT Neural Network Results Detection

Breakfast!

ps:

our model was working fine up until right before we submitted it. source: trust me bro

Built With

  • lobe.ai
  • netlify
  • react
  • tensorflow
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Updates

Private user

Private user posted an update —

In light of the recently discovered positive cases at IC Hack, you can try testing our program with your LFDs.

Stay home, stay safe, and keep testing regularly xx

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Submission history