The Driver-Snoozing-System is a machine learning system designed to detect when a driver is falling asleep at the wheel and alerts the driver before an accident occurs. The system uses the shape_predictor_68_face_landmarks.dat file, which contains data about the location of 68 facial landmarks on a person's face, to analyze the driver's face and determine if they are exhibiting signs of drowsiness.

• Take a look at the contribution guide

• Take a look at Pull Request guide

To get a local copy up and running follow these simple steps.

• Clone the repository with

git clone https://github.com/Deep-ghosty/driver-snoozing-system.git

• Install the necessary libraries:

pip install -r requirements.txt

• Run the snoozing detection script:

python driver_drowsiness.py

• The shape_predictor_68_face_landmarks.dat file was trained using the dlib library.
• The face detection functionality is based on the OpenCV library.

Ekansh rajput
Divyansh mittal

Do consider looking at other paradigms of this documentation

• Code Of Conduct
• How to contribute?
• How to Make a Pull Request