Project Description: Mask watch uses machine learning which involves training algorithms to identify whether individuals are wearing masks for house protection. The process begins with collecting a dataset of images labeled as "masked" or "unmasked." These images are then used to train a machine learning model, allowing the system to learn the features that distinguish masked faces from unmasked ones. Once trained, the model is deployed to automatically detect whether the delivery person is wearing mask or not.
