created and desgined by @Alex Hsieh 2021
Collected and prepared yawn footages using data augmentation and manually labeling them.
Designed and Trained a neural network using TensorFlow, dlib, and Haar which performs yawn detection given a video footage. Achieved a 90% accuracy on the training set and an 83% accuracy on the testing set.
Most Entertaining Hack @ BitCamp2021
Top 10 @ AWS Hackathon 2020