Published on: April 2026
CRIME RATE PREDICTION USING MACHINE LEARNING
V. Sathya G. Sujatha K. Anjana B. Yashwanth
V. Vanaja
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Abstract
At the core of this system is a machine learning-based model that uses multiple factors such as location, time, type of crime, and past records. It not only considers historical data but also analyzes patterns and relationships within the data to make accurate predictions. The system can identify whether crime is likely to increase or decrease in a particular area, helping law enforcement agencies take preventive measures.
The Crime Rate Prediction System also allows users to visualize crime data through graphs and reports. It helps in tracking crime trends over time and provides alerts for potential high-crime zones. The system is designed to be user-friendly, making it easy for both officials and the general public to access and understand crime-related information.
This system can be considered a smart decision-support tool that improves public safety by providing reliable crime predictions. It continuously learns from new data, improving its accuracy over time and helping build safer communities.
Keywords: Crime Prediction, Machine Learning, Crime Analysis, Data Visualization, Public Safety, Predictive Analytics.
How to Cite this Paper
Sathya, V., Sujatha, G., Anjana, K. & Yashwanth, B. (2026). Crime Rate Prediction Using Machine Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.242
Sathya, V., et al.. "Crime Rate Prediction Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.242.
Sathya, V.,G. Sujatha,K. Anjana, and B. Yashwanth. "Crime Rate Prediction Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.242.
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- •Published on: Apr 12 2026
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