Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 6 Issue 6
November-December 2025

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A machine learning analysis and solution for predicting crime rates

Author(s) Ms. Anubhuti Srivastava
Country India
Abstract Predicting crime rates is essential to effectively managing resources and combating crime, which is a global problem. Machine learning algorithms can adapt to these changes and generate more accurate predictions as crime rates fluctuate over time in response to changes in social, economic, or political circumstances. Nevertheless, using machine learning to predict crime rates can provide moral dilemmas. Crime prediction is a complex issue that requires advanced analytical methods in order to successfully close the gaps in the detection systems that are already in place. Because of the abundance of crime data and the advancement of modern technology, researchers now have a unique opportunity to study crime detection using machine learning and deep learning methods. Statistics models and algorithms are used in machine learning, a subfield of artificial intelligence, to analyse and predict data. That being said, deep learning methods are a subset of machine learning that use multi-layered artificial neural networks to model complex input-output interactions. To solve the problem of crime prediction, machine learning and deep learning techniques could be applied in a variety of ways. Machine learning-based crime prediction is of interest to many academics. Law enforcement can create more effective programs to combat and deter criminal activity by having a better understanding of crime prediction techniques.
Field Computer Applications
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.63363/aijfr.2025.v06i06.2472
Short DOI https://doi.org/hbf94q
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