CRIME DATA ANALYSIS OF TAMIL NADU USING MACHINE LEARNING TECHNIQUES

CRIME DATA ANALYSIS OF TAMIL NADU USING MACHINE LEARNING TECHNIQUES

J.R.KISHOR1, S.ARUNACHALAM2 ,J.AATHIKESAVAN3 , ARUL SELVAN G4 , Dr. GANESAN T5

1, 2, 3 Final Year Student, 4 Assistant Professor, 5 Professor

Department of Computer Science and Engineering

E.G.S. Pillay Engineering College (Autonomous), Nagapattinam

Abstract: The rate of crime in Tamil Nadu is alarmingly rising. Tamil Nadu had the fifth-highest crime rate among Indian states in 2021. The purpose of this research is to analyse the crime data of Tamil Nadu using machine learning techniques. The result of the analysis is categorised by geographic area in order to alert individuals to the types of crimes that are likely to occur in their areas and when, in simpler words, it examines the features of crime that occurs in every region of the state. The most common crimes in a given location and the time period of a day when such crimes are most likely to occur are included in the analysed output data, which proves effective in decreasing crime activities in that location.

Keywords: Crime Analysis, Machine Learning, K-NN, K-Means Clustering, Regression, Naïve Bayes Classifier