Driver Drowsiness Detection
Driver Drowsiness Detection is an end-to-end deep learning application that determines whether a driver is awake or falling asleep, with the goal of preventing fatigue-related accidents.
Highlights
- CNN classifier trained with TensorFlow, reaching 96% accuracy.
- Image processing with OpenCV.
- Django web application where images can be uploaded for prediction, plus documented REST APIs and an admin panel.
Tech stack: Python · TensorFlow · CNN · OpenCV · Django