LITERATURE REVIEW ON CRIME DETECTION AND PREDICTION USING AIML

LITERATURE REVIEW ON CRIME DETECTION AND PREDICTION USING AIML

Pooja Bhole1, Akshay Kamthe2, Asmit Vairagade3, Aman Pardhi4, Ayush Tembhare5, Dhanashri Kadve6, Bhavesh Dhakite7

1Assistant Professor, 2,3,4,5,6.7Undergraduate Students

Department of Artificial intelligence,

G H Raisoni Institute of Engineering and Technology Nagpur, India

Abstract:

            Crime can be termed as an anomalous act and is one of the biggest and dominant problems in our society and its prevention is an important task. These days, there are huge numbers of crimes committed frequently. This called for keeping track of all the crimes and maintaining a database for some which may be used for future reference. The current problem is maintaining a proper dataset of crime and analyzing this data to help in predicting and solving crimes in future. The objective of this project is to analyze a dataset which consists of numerous crimes and predict the type of crime which may happen in future depending upon various conditions. The paper apotheosis potential gaps and future directions that can increase the correctness of crime prediction.

Keywords: Crime Prediction, Crime detection, Crime analysis, Face recognition, object detection, Instances learning, machine learning.