To Categorize and Forecast the Type of crime and Person-identification using Machine Learning

Abstract

Crimes are an irritant to society and have a discernible effect on it. Many law enforcement organizations currently have large amounts of crime- related data that need to be processed in order to become useful information. Crime data are complex since they include a lot of various formats and features. Law enforcement organizations face a number of challenges in their efforts to prevent crimes. To assist law enforcement agencies in conducting descriptive, predictive, and prescriptive analysis on crime data, we propose a desktop application for crime data analysis. Because the application was modular, each component was built separately. Person identification makes use of data analysis and biometric technologies to accurately identify individuals. Databases are able to record and store these characteristics. Keywords-Crime, Prediction, Person- Identification, SVM, Haar-cascade algorithm