Crime Prediction and Analysis Using Machine Learning

Abstract

It is critical to recognise crime patterns in order to be better prepared to respond to criminal behavior. We study crime data of states in india that was scrapped publicly available websites kaggle for our project. The goal is to estimate which type of crime is most likely to occur at a given time and location. The use of AI and machine learning to identify crime using sound or video is now in use, has been demonstrated to function, and is likely to grow. The use of AI/ML to forecast crimes or a person’s chance of committing a crime has potential, but it is still a work in progress. The most difficult task will most likely be “proving” to legislators that it works. It’s tough to establish the negative when a system is meant to prevent something from happening. A positive feedback loop would certainly benefit companies who are directly involved in providing governments with AI capabilities to monitor areas or predict crime. Improvements in crime prevention technology will almost certainly lead to an increase in overall spending on this technology. We also try to make our categorization work more relevant by grouping many classes together into larger groups. Finally, we present and discuss our findings using several classifiers, as well as future research directions.