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Online Attendance using Face Recognition

  • Flask based web application to take attendance using face recognition.
  • Provide two types of accounts: Students and Faculty.
  • Faculties can train face recognition model on added photos by students, add lectures, take attendance by turn on camera, see and download the attendance, etc.
  • Students can add their photos and see their attendance.

Face recognition pipeline



  • This article desribes details of face recognition implementation and results of this project.

Steps to run this project:

1. Create Python virtual environment and install requirements

Compatible Python Version = 3.6.9

  • Create virtual environment
python3.6 -m venv attendance-env
  • Activate virtual environment
source attendance-env/bin/activate
  • Upgrade Pip (because many a times pip version installed in old version (9.0.1), which sholud upgraded to latest version (20+))
pip install --upgrade pip
  • Install necessary requirements/libraries
pip install -r requirements.txt

2. Run Flask application

  • Run flask app
python3 run.py

This will take 20-30 seconds to load pretrained models and finally give localhost url to run flask application. Then open that url (i.e. - http://127.0.0.1:5500/). By clicking url following home screen should be displayed.

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