Parking management is a term that describes methods for making better use of parking resources. The first step toward successful parking management is to identify the cause of the problem. Finding suitable parking is among the fastest-growing industries of all, given the ever-increasing number of cars on the road. Traditionally, traffic has been a nightmare. To address these issues, businesses adopted intelligent parking systems from large hardware vendors. These, on the other hand, are unfit for purpose and also have resulted in major parking issues at many businesses. The approach attempts to offer a practical answer to the problem of smart parking. We aim to create a functioning software that will inform requesting customers if there is still a free parking spot near their location using technologies like Machine Learning, CNN, OpenCV, and React.

The Internet of Things is now a groundbreaking area with the potential to influence our lives and bring major changes to the globe. Many IoT approaches have been proposed to enable data-driven and smart applications for users. Therefore, architecture, applications, and technological systems must be created for fast and prompt enforcement of guidelines, regulations, and government directives to control such future epidemics. This paper describes a new architecture, possible use-cases, and some future possibilities for building such applications utilizing Smart City. The COVID-19 epidemic is an existing pandemic induced by that of the Coronavirus. It is a severe acute respiratory syndrome (SARS-CoV-2). It was discovered for the first time in December 2019 in Wuhan, China. Social distancing is a technique for controlling the transmission of infectious illnesses. It suggests that individuals must physically separate away from each other, decreasing intimate contact, and therefore lowering the spreading of a deadly virus also including Coronavirus.