Even though people are now getting vaccinated, it might still take time for things to come back to normal. Until then, wearing masks and social distancing is the most effective preventive measure against the spread of COVID-19. This leads to the necessity of a system that will detect face masks in real-time video streams. Our solution detects whether a person is wearing a mask or not. If he/she is not wearing a mask then his/her photo would be captured and given as input to a face recognition system that will identify the person. The solution further provides the person’s information to the administrator and allows him to take any further action if needed. The above solution is implemented using neural networks to detect masks and the website is created using the Google Flutter framework. The ‘Web-Based System for Face Mask Detection and Face Recognition can be used to ensure the safety of people by implementing it in the large crowd gathering places like college campuses and offices.