• Vipin Rawat
• Vishal Verma
• Jai Pratap Dixit
• Nikhat Akhtar
• Neeta Rastogi, Susheel Kumar

The COVID-19 epidemic has triggered a global healthcare emergency. Because it frequently spreads through newly created droplets from a coronavirus-infected individual, this virus is harmful to other people. Public spaces have a larger risk of transmission. Wearing a facemask in public is one of the greatest methods to avoid becoming sick, according to the World Health Organization (WHO). In this project, we present a technique that makes use of TensorFlow and OpenCV to identify human face masks. A border box around the subject's face indicates whether or not a mask is present. If a person's face is stored in the database, it can recognise their name if they are not wearing a mask, and if it does, an email alerting them to the issue and advising them to take the necessary measures will be sent to that individual

Machine Learning, OpenCV, Classifiers, Convolution Neural Networks (CNN), TensorFlow

"Face Mask Identification Using a Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.d842-d847, August-2022, Available :http://www.jetir.org/papers/JETIR2208393.pdf

"Face Mask Identification Using a Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppd842-d847, August-2022, Available at : http://www.jetir.org/papers/JETIR2208393.pdf