Face Liveness Detection

[ananyag309]

#68 the model i have added verify whether a person is physically present during the authentication process by analyzing facial features and eye blinks. 🔍

Checklist

• My code follows the current project structure
• I have thoroughly reviewed and updated the requirements.txt file to include any new packages
• The predict.py file includes a properly implemented model_details() function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.
• I have added relevant tests (if necessary).
• I have added comments in the code where needed.
• This PR is submitted under Hacktoberfest.
• This PR is submitted under GirlScript Summer of Code (GSSoC-Extd).

[Pranshu-jais]

@ananyag309 Please add Streamlit page under pages/ directory

[yashasvini121]

Your work is incomplete, make the requested changes and create a page for your model.

[yashasvini121]

Follow the project structure.

[yashasvini121]

Save it in saved/models and change it to csv format

[ananyag309]

@yashasvini121 can you please help me? i have converted xml file to csv and deleted requirement.txt what else need to be done

[yashasvini121]

@ananyag309, you can check the documentation to see if it helps. Additionally, in the emotion-detection branch, the emotion detection model utilizes the camera feature, so you might find it useful to refer to that as well.

[ananyag309]

@yashasvini121 I have completed all the necessary requirements. If everything looks good, please proceed with merging them.