International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | April 2024
p-ISSN: 2395-0072
www.irjet.net
Crime Analysis and Prediction Using Machine Learning Shradha Rajput1, Minal Thombare2, Sawan Kumar3, Aachal Gupta4, Dr. Radhika Nanda5 1,2,3,4Student, Department of CSE(IOT, Cybersecurity and Blockchain), Smt. Indira Gandhi College of
Engineering,
Ghansoli, Navi Mumbai, Maharashtra, India 5Professor, Department Of CSE (IOT, Cybersecurity and Blockchain), Smt. Indira Gandhi College of Engineering,
Ghansoli, Navi Mumbai, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Crime represents a significant and pervasive
extensive data is utilized to construct a comprehensive crime report database [8]. The insights derived through data mining techniques play a pivotal role in reducing crime by facilitating the identification of culprits and areas most affected by criminal activities [7].
challenge in our society, making the prevention of criminal activities is a paramount responsibility. To address this, it is essential to maintain comprehensive records of all offenses and establish a database for future reference. The central issue at hand revolves around maintaining a dependable crime database and leveraging data analysis to assist in forecasting and resolving potential future crimes. The primary aim of this project is to assess a dataset containing various criminal incidents and predict the potential type of crimes that might occur in the future based on different factors. In this project, we will harness the power of machine learning and data science techniques for forecasting crimes using Indian crime data. Crime analysis and prediction involve a systematic approach to identifying patterns of criminal activity. This algorithmic approach can anticipate and delineate areas susceptible to criminal incidents. By employing machine learning, we have the capability to uncover valuable insights from unstructured data, revealing previously unknown information. The extraction of new insights relies on the analysis of current datasets. Crime is a grave and widespread societal issue that impacts individuals globally. It influences people's well-being, economic prosperity, and a nation's reputation. To protect our communities from crime, we must employ cutting-edge technology and innovative crime analytics techniques. We introduce a system capable of analyzing, identifying, and predicting various crime probabilities within a given location. This project delves into various forms of criminal analysis and crime prediction using machine learning methodologies.
Crime analysis serves as the initial phase in the examination of criminal activities. It involves the exploration, analysis, and identification of connections among various crimes and crime-related variables. The machine learning algorithm trains the data to make predictions based on the provided dataset [2]. We can train the data and create models to effectively analyze and predict the crime in a certain area. This analytical process aids in generating real-time statistics, queries, and maps. It also helps in determining whether a crime has taken place in a particular, well-defined location. The prediction of crime helps in the security of the area and thus lowers the crime rate increasing safety of the citizens.
1.1 OBJECTIVES
Key Words: Crime Datasets, Crime Prediction, Machine Learning, Prophet.
Impact Factor value: 8.226
•
It will also predict future crime locations, etc. on the basis of historical crime data
•
The web application will display the crime rate in various forms such as graph, etc.
•
It will also display the predictions in the same manner.
The primary goal of this crime evaluation is to successfully track crime rate in various areas. It will display crime rate of a particular area. This will help the police forces and other related defense forces to effectively track and stop crime in a particular area and eventually in the society. IT will also predict the crime rate of different types of crime using various types of machine learning algorithms. The prediction will be based on various historical crime data. This will also help the defense personnel to keep checking the area with high crime rate to prevent crimes in future.
The frequency of criminal activities is on the rise due to the continuous advancement of technology, which provides criminals with more sophisticated tools to carry out their unlawful actions. Various types of crimes such as burglary, arson, and others, as reported by the Crime Record Bureau, have seen an increase. This includes more severe offenses like murder, rape, abuse, and gang rape, among others. Crime-related data is gathered from a wide range of sources, including blogs, news websites, and online platforms. This
|
The primary objective is to provide valuable insights into crime trends and patterns using historical crime data.
1.2 SCOPE
1.INTRODUCTION
© 2024, IRJET
•
|
ISO 9001:2008 Certified Journal
|
Page 1774