Face masks are now an essential part of our everyday life as the country begins the many stages of reopening in order to keep safe. It will be necessary to wear a mask in order to communicate with others or do business. Therefore, this application makes use of a camera to determine if a person is wearing a mask. we have used dataset, Machine learning and deep Learning, mobilenetv2, OPEN CV, PYTHON, KERAS and TENSOR FLOW. By using Transfer learning, we have to do real time detection. To analyze the project, we need to figure out Introduce YOLO algorithms to detect the images. YOLO stands for you only look once, by using computer vision to detect images. This work on mainly used in Traffic Signals, Hospitals, Airports, public places etc. By figure out this pandemic we need statistical analytical report on covid 19. To visualize the graph, we use data visualization in which health industries are felt problem with covid and presenting dashboards. To achieve that thing we use python libraries, power bi and tableau.

YOLO, ML and DL, CNN, CV, mobilenetv2, packages, SGD, KERAS, DL, Tensor flow, train, test, HAAR cascade