Inspiration
We wanted to create something that improved everyday efficiency for everyone. Falling asleep/staying awake is a well-known problem among all people when working late at night.
What it does
Our app detects the level of drowsiness from a live photo. It then supplies relevant material (ie music) to help the situation. Finally, it logs the amount of time that you were sleepy or awake. We keep the data secure, make it easy to use, and leave the user satisfied.
How we built it
Android Studio TensorFlow CNN Model Trained with 3,000 Images - 94% Accuracy Scandit scanner
Challenges we ran into
Training the model and running Scandit
Accomplishments that we're proud of
Achieving 94% accuracy and getting the entire app to work.
What we learned
How to use Scandit for real-time interactions.
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