Crime Rate Prediction System Using Machine Learning.

Prafull Pandey; Nagma Wasim; S. K. Sharma; Neha Chauhan; Anand Kumar Singh; Praveen Kumar

International Journal of Embedded Systems and Emerging Technologies

Crime Rate Prediction System Using Machine Learning.

Abstract

Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various technologies that can be utilized in constructing a Crime Rate Prediction System. The systematic approach of crime prediction involves identifying crime patterns and trends. Implementing a crime rate prediction system can accelerate crime solving procedures and reduce crime rates. This system relies on recorded data, including time and location, and utilizes several analyzing technologies to predict crime patterns and trends.

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How to cite

Prafull Pandey, Nagma Wasim, S. K. Sharma, Neha Chauhan, Anand Kumar Singh, Praveen Kumar. Crime Rate Prediction System Using Machine Learning. International Journal of Embedded Systems and Emerging Technologies. 2023;9(1):18–27.

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Crime Rate Prediction System Using Machine Learning.

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