• Mohammad Akhtar
• Udit Tiwari
• Harsh Tripathi
• Dr. Deepak Asrani

In contemporary society, with the rapid proliferation and dissemination of the COVID-19 pandemic on a worldwide scale, individuals have encountered significant upheaval in their day-to-day routines. One potential strategy for mitigating the outbreak is implementing a mandatory policy requiring individuals to wear facial coverings in public settings. Hence, the development of automated and efficient techniques for face identification is important in order to facilitate such enforcement measures. In response to the COVID-19 pandemic, the World Health Organization (WHO) has implemented a requirement for the use of masks as a preventive measure against this highly contagious and potentially lethal virus. This tutorial aims to demonstrate the development of a machine learning project using Python, specifically focusing on the creation of a real-time face mask detector.

OpenCV, Machine Learning, TensorFlow, COVID-19, Detection.

"Real-Time Face Mask Detection System using TensorFlow Framework in Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.g735-g742, March-2022, Available :http://www.jetir.org/papers/JETIR2203694.pdf

"Real-Time Face Mask Detection System using TensorFlow Framework in Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppg735-g742, March-2022, Available at : http://www.jetir.org/papers/JETIR2203694.pdf