Crime Forecasting using Folium

Abstract

This research is related to machine learning, Aswe know that crime is an alarming aspect of the modern world. This research plays a vital in studying different factors and relationships among crimes and to discover the best possible approach to control crime. crime forecasting using folium is an approach for analyzing and predicting the pattern of crime in a specific area. This research can predict the area which has higher probabilities for crime occurrence and by using folium we can visualize the crime-prone areas, with the increasing emergence of the computerized system, this research can help to predict the crime. It will help in predicting the information about crime-prone specific areas in advance.  In this, the concept of data mining is implementing, as extracting the previously known information. This research is using the concept of the K-means clustering algorithm to make a cluster of similar types of information. Once the clustering is done, we are able to predict a crime based on its historical data. With the help of this research, we can indicate regions which have higher crime rates