The COVID-19 pandemic has become an evolving situation all around the globe and the spread is at an alarming rate. Adapting public health-informed hygiene practices can control the transmission of COVID-19, basic measure being wearing a mask. Face detection is the process of identifying faces in a given input image or video and indicating it by drawing a bounding box around the face. In this paper we introduce a deep learning computer vision model to recognise if a person visible through the camera is wearing a mask or not. The deep learning algorithm administered in our work is a transfer learning based Convolutional Neural Network (CNN) and the face detection task is done using the Viola-Jones algorithm approach.