• Ms. S.Venkata Sai Prathyusha
• Mr.Dr. P. Prathap Naidu

The administration of biometric attendance is the topic of this essay. Automatic attendance management will take the place of the manual system, which is time-consuming and challenging to maintain. Although there are several biometric procedures, face recognition is the most effective one. We are employing the Convolutional Neural Network (CNN) technique, which is based on Deep Learning (DL). We are taking into consideration the dataset of human faces that was trained using CNN. For the user interface webpage, the flask framework was used, and the entire procedure was carried out in the public cloud (AWS).

Attendance Management, Computer Vision, Deep Learning, Human Face Images.

"CLOUD BASED STUDENT ATTENDANCE TRACKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.j293-j297, July-2023, Available :http://www.jetir.org/papers/JETIR2307939.pdf

"CLOUD BASED STUDENT ATTENDANCE TRACKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppj293-j297, July-2023, Available at : http://www.jetir.org/papers/JETIR2307939.pdf