This document describes a face mask detection system using transfer learning. The system is trained using a dataset of images labeled as with or without a mask. It uses the MobileNet model as the base model for transfer learning. During deployment, the system detects faces in real-time using a camera. If a face is detected without a mask, it will make a beep sound alert. The system achieved 99% accuracy on the test dataset in detecting masked and unmasked faces. The goal is to help enforce mask guidelines and limit the spread of COVID-19.