Geographical Crime Rate Prediction System

Abstract

Crime is one of the most important and dominating problems in our society, and its prevention is a crucial task. Due to the rapid organization and progress of big urban centers and villages, the stats of crime is also around the increase. This extraordinary rise in offenses and crime in cities is a matter of tremendous concern and stress to all of us. Daily there are large numbers of crimes committed frequently. Crime analysis and prediction is an organized approach for classifying the types of crimes committed, describing the purpose of crime, and predicting future crimes. The dataset includes official police reports and the scraped data from reliable websites. By analyzing crime reports, the system can calculate the hotspot areas. Crime data analysts can help law enforcement officers in speeding up the process of finding criminals. The objective of this proposed system is to research datasets and analyze the crimes which are committed and then by applying the Random Forest Algorithm, the prediction of crimes will be carried out.