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Attendance System Using Face Recognition with AI

Author

Listed:
  • Sahil Thokal
  • Prem Padalkar
  • Abhishek Solase
  • Rushikesh Randhavan
  • Khemnar Kavita C.
  • Maniyar Anwar A.

Abstract

The increasing demand for automation and contactless systems in educational and corporate environments has accelerated the need for intelligent attendance solutions. This research paper presents an AI-based face recognition attendance system designed to automate and secure attendance management. Using Convolutional Neural Networks (CNN) and FaceNet embeddings, the system achieves high accuracy in identifying individuals under varying lighting and environmental conditions. The system integrates a Flask-based backend, a web-based frontend, and a MySQL database for seamless real-time performance. The implementation demonstrates 97.8% accuracy, showcasing the potential of AI and computer vision in modernizing administrative operations.

Suggested Citation

  • Sahil Thokal & Prem Padalkar & Abhishek Solase & Rushikesh Randhavan & Khemnar Kavita C. & Maniyar Anwar A., 2025. "Attendance System Using Face Recognition with AI," International Journal of Scientific Research in Science, Engineering and Technology, Technoscience Academy, vol. 12(6), pages 51-53, December.
    • Handle: RePEc:ijs:ijsrse:v12:y2025:i6:id:797
    DOI: 10.32628/IJSRSET251385
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