Abstract: Disclosed is a contactless event monitoring and early detection method and system of real time monitoring of a person to predict an undesired event. The contactless event monitoring and early detection method collects data from a one or more data aggregation devices and filters the collected data in a signal processor. The contactless event monitoring and early detection method then analyzes the collected data in an event monitoring and detection processor. The event monitoring and detection processor implementing artificial intelligence algorithms to predict the probability of the occurrence of to the undesired event. Further, the event monitoring and detection processor receives a health data related to the person and selects an analytical model to be applied for prediction of the undesired event. In one embodiment, the probability of occurrence of the undesired event is associated on a threshold value. The threshold value is related to at least one early indicator associated with the person.