In the US, the COVID-19 pandemic has posed a serious threat to healthcare. 80% of respiratory infections can be prevented primarily, effectively, and conveniently by wearing a mask.Centers for Disease Control and Prevention (CDC), COVID-19infection is transmitted predominately by respiratory dropletsgenerated when people breathe, talk, cough, or sneeze. Wearinga mask is the primary, effective, and convenient method ofblocking 80% of all respiratory infections. Nevertheless, the public's accessibility is hindered by the fact that most commercial face mask detection devices available today come packaged with particular hardware or software. In this research, we offer a Webbased efficient AI recognition of masks (WearMask) in-browser serverless edge computing based face mask detection system that can be implemented on any common devices (e.g., mobile phones, tablets, machines) having web browsers and internet connections; no software needs to be installed.