Abstract: Preventive measures are always better than curative ones. The same is true for crimes as well. The Crime Analysis uses mathematics, predictive modeling, and predictive analysis to help law enforcement in targeting potential criminal and antisocial activities. Studying, observing, and analyzing the patterns formed in crimes are used in various countries and organizations. Crime is dynamic in nature but still, we can find patterns in a crime which will help the authoritative and concerned organizations to find areas that are less affected by a crime and those with a high rate of a particular crime. This research aims to provide people with the idea of how crime patterns can be analyzed and help create a crime-free neighborhood. We have used a clustering method (K-Mean Clustering) to find vulnerable locations to the classified crime. As of now, we have taken six classes of crime (i.e. Robbery, Accident, Gambling, Violence, Kidnapping, and Murder). More classes will be added to extend the model's usefulness. For this research, the datasets were selected from government websites, which were pre-processed and used to find patterns in the various classes of crime occurring in different states according to the jurisdiction of the country

| DOI: 10.17148/IARJSET.2022.94103