In this project we approached the problem of developing a computer-based system which can identify whether people in images are wearing masks or not. To do so, we divided the project into two primary research areas: hardware and software. The hardware team inspected camera solutions and data gathering efforts on campus to assist the software training of the machine learning model. The software team learned how to work with machine learning by using TensorFlow and Python to use transfer learning to develop a model that will quickly detect if someone was wearing a mask or not
