• Chadaram Himasri
• Nalla Swathi Priya
• Tanvi Afreen Mohammed
• Polamuri Sravanthi
• Mrs.B. Sunayana

Masking up, social distancing and sanitizing are the new normal that everyone has adopted to during the corona virus pandemic. It changed our lives in every aspect. Not only medical negligence but also personal negligence costs a life. Monitoring each and every person whether they are following the COVID-19 guidelines is a challenging task. The main cause of spread of the virus is the social gatherings like family gatherings, events, schools, colleges, educational institutions and offices. The children and youth are the major carriers and transmitters of the disease. They are less affected but may lead to further spread. We want to restrict the spread of the disease by digitally monitoring whether the people are wearing the masks properly or not. Also, we send automatic alert mails to the concerned authorities and the particular person who is violating COVID-19 norms. In this way, we can easily identify the people who are violating the norms and can take corrective actions against them. Here we post the attendance to the students only if they wear the mask.

Attendance, Face detection, haarcascade classifier, Convolution neural networks, MobileNet, Tkinter, smtplib

"Attendance updation by monitoring COVID-19 protocols", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c903-c911, August-2022, Available :http://www.jetir.org/papers/JETIR2208295.pdf

"Attendance updation by monitoring COVID-19 protocols", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc903-c911, August-2022, Available at : http://www.jetir.org/papers/JETIR2208295.pdf