Project Overview

The central objective of this project is to capture multiple faces with maximum accuracy.

Build an attendance system using computer vision. 
The user should be able to feed the system with a live stream of 
video or an image and the attendance for that particular audience 
should be marked automatically in real time. The user should be 
able to verify the same before submitting.

AI-attendance-system

- 1 :  Register yourself and capture face data.
- 2 :  Faculty in-charge can allow certain restrictions/- 
- permission in that case the system must be able to retain the student’s attendance.
- 3 :  A  student, upon showing his/her face( kind of l
- ogin portal) can access his/her attendance data

Approach

Front-End

- Faculty Login
- Student Attendance 
- Student Registration
- Student Verification

AI - Services

- AI Time Interal Based Validation
- Face Recognition

Back-End

- Storing the data in Faculty and Student Login
- Connecting  to AWS-S3 to store data

TECH STACK

Front-End

  - HTML,CSS,JavaScript
  -  Flask Micro Web-FrameWork

Back-End

  - Python
  - AWS-S3 Storage
  - Face Recognition (PyPi)
  - SQL
  - Open CV

Advantages of AI attendance over Manual form of Attendance

    - Any student can access his/her attendance records at any time and plan accordingly.
    - There will not be any form of tampering with one's attendance.
    - The records will be secure.

Applications :

The AI-Attendance-System can be used in schools, colleges, workplaces, tournaments, and competitions