K-Means Clustering Machine Learning Concept to Enable Social Distancing in Public Places

Abstract

In endemic and pandemic situations, governments will implement social distancing to control the virus spread and control the affected and death rate of the country until the vaccine is introduced. For social distancing, people may forget in some public places for necessary needs. To avoid this situation, the authors develop the Android mobile application to notify the social distancing alert to people to avoid increased levels of the endemic and pandemic spread. This application works in both online and offline mode in the smart phones. This application helps the people to obey the government rule to overcome the endemic and pandemic situations. This application uses k-means clustering algorithms to cluster the data and form the more safety clusters for social distancing. It uses artificial intelligence to track the living location by the mobile camera without the internet facilities. It helps the user to follow social distancing even with no internet with user knowledge.