The Covid-19 is spreading across the globe. This infection spreads essentially through drops getting away from an individual contaminated with the covid, representing a threat to other people. The gamble of transmission is more noteworthy openly put. Probably the most ideal way to safeguard yourself from disease is to wear a facial mask in public regions, as expressed by the World Health Organization. In this task, we propose a strategy utilizing OpenCV and TensorFlow to recognize facial masks on a group of people. We prepared the model on various datasets so it can precisely tell regardless of whether the individual is wearing the mask. An admonition message is shown with a sound sign expressing that an individual was distinguished without a cover assuming an individual without a mask is recognized. In the wake of clicking OK, an alarm message with the depiction of the individual without a mask will be emailed and SMS. Watchwords: Opencv, Tensor stream, CNN, Smtplib, Twilio.