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Crime Prediction System Using Machine Learning

Aaditi Chougule, Sakshi Kashid, Pranjal Patil, Urvesh Thakkar, Prof. A. B. Ghandat

Abstract—One of our society's most pervasive and concerning aspects is crime. Numerous crimes are perpetrated daily, which has negatively impacted the lives of regular citizens.restless. Therefore, stopping the crime from happening is a crucial duty.Artificial intelligence has recently demonstrated its value in practically every industry, and crime prediction is one of them. However, since this data can be consulted in the future, it is necessary to have a proper record of the crime that has occurred. The ability to foresee potential crimes can aid law enforcement organisations in stopping them before they happen.From a strategic standpoint, the capacity to foresee any crime based on time, place, and other factors can assist in giving law police vital information.However, because crimes are rising at an alarming rate, it is difficult to predict them accurately. Therefore, it is crucial to identify potential crimes now in order to prevent them from happening later. Many researchers have recently experimented with predicting crimes using various machine learning techniques and specific inputs. SVM algorithm is used to predict crime. The major goal is to demonstrate the value and potency of machine learning in forecasting violent crimes occuring in a certain area so that authorities may utilise it to lower crime rates in society.

Index Terms—Support Vector Machine, Machine Learning, Crime Prediction, SVM