In the midst of the continuous COVID-19 widespread, there are no productive confront cover location applications which are present in the tall request for transportation implies, thickly populated zones, private locale, large-scale producers, and other ventures to guarantee security. The absence of huge datasets of ‘with mask’ pictures has made this assignment lumbering and challenging. So, this project “Face Mask Detection System” enables the user to identify whether individuals wear masks before entering a company or an organization and ensures that people are informed about masks and promotes health safety and well-being. It uses Deep Learning and Computer Vision concepts to detect face masks in real-time video streams and alert the user if they are wearing the mask and if not, will prompt them to wear it. It is supposed to help people and businesses one step ahead in this dire situation of the corona virus pandemic. It’ll help businesses identify if their customers are wearing a mask or not, and alert them to wear it before they enter the premises to do transactions. As simple as it looks, various studies and research papers show that wearing the mask is still an affection way to break the chain of transmission of the covid-19 virus as well as other airborne diseases. This application ensures that people are informed about masks and promotes health safety and well-being.