Project information

  • Category: Web application
  • Role: ML/Backend Developer
  • Project duration: 3 months
  • Team size: 4
  • Github URL: Locally hosted

Face Recognition Based Attendance System for Classroom Environments

Technology(s) Used: ML, Flask, Tensorflow, OpenCV, ReactJS, SQLite

  • Implemented a Face Recognition Based Attendance System that manages the student attendance records to mitigate the downsides of manual recordings.
  • Achieved 98% accuracy using the FaceNet model.