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The system should utilize state-of-the-art facial recognition algorithms to accurately identify individuals based on their unique facial features. Advanced machine learning models should enable the system to adapt to diverse scenarios, including varying lighting conditions, facial expressions, poses, and occlusions, ensuring reliable and precisely.

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coder-ashish/Automatic-attandance-using-facial-features

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Face Recognition Attendance System

Description

Software for Industry , where they can track the attendence of their employee with the help of face recognition using OpenCV library.

Table of Contents

Project Plan

  • Task:
    • Create a home page
    • Show attendence log on home for particular day
    • Recreate a HTML , bootstrap boilerplate and remove unwanted code
    • Show date and day on home page
    • Company name should be visible on home page
    • Show list of total Employee on home page
    • Create a Admin panel
    • Give various rights to admin
    • Work on UI

Features

  • Adding a New User

  • Capturing Live Images

  • To understand the Total number of Users in Database

  • Click on Take Attendance

  • Multiple User Faces can be detected

  • Attendance of Multiple Users taken

  • Attendance of Users displayed

Installation

  • Explain how to install or set up the project.

Usage

  • this is useful in tracking the attendence of your employees

Contributing

  • Contributers are welcomed, you can simply fork the repo and contribute , and make PR
  • Dont wait for getting issue assigned to you

License

  • Include information about the project's license.

About

The system should utilize state-of-the-art facial recognition algorithms to accurately identify individuals based on their unique facial features. Advanced machine learning models should enable the system to adapt to diverse scenarios, including varying lighting conditions, facial expressions, poses, and occlusions, ensuring reliable and precisely.

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