Implementing new Feature "Drowsiness Detection Feature Implementation…

[praveenarjun]

… 🚗😴 #1312

Description

This feature will utilize machine learning algorithms to analyze user behavior and detect signs of drowsiness. The implementation will involve collecting data, training a model, and integrating the detection system into the existing project. The primary goal is to enhance safety and user experience by providing timely alerts when drowsiness is detected.

Fixes # (issue) #1312

Type of change

• [yes ] Added a new machine learning frameworks, libraries or software.
• [ yes] Documentation update

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings

https://user-images.githubusercontent.com/73580507/159136371-943b6761-0a8f-44af-a471-ff0b78d18514.gif

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[praveenarjun]

is any issue pls make a comment

[praveenarjun]

This project have used live data using cocoa dataset and It is total open cv project YOloV5 Model