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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63713
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
Crime prevention and control for society. Traditional policing. methods mainly focus on responding to crimes after they occur, which often results in delays. and limited effectiveness. With the rise of modern technology and the availability of data, it has become possible to predict and prevent crimes before they happen. This project, titled “Big Data for Predictive Policing and Crime Prevention,” aims to use big techniques to analyte crime patterns and predict potential. future crimes. By studying large volumes of data collected from police records, public databases, and social media, the system can identify crime-prone areas, high-risk time periods, and possible trends in criminal behaviour. Data gathering, data processing, data storage, predictive analysis, and visualization. are the main phases of the suggested system. While prediction models produce insights that can aid law enforcement in making better decisions, technologies are utilized. to manage big datasets effectively. The output is presented through an interactive dashboard that displays crime hotspots, charts, and reports, enabling police to take preventive measures. This project demonstrates technology with predictive analytics can transform traditional. policing into smart policing. By shifting from a reactive to law public safety, optimize resources, and reduce overall crime rates.
KEYWORDS
The Big Data for Predictive Policing and Crime Prevention system provides a modern, data-driven approach. to law enforcement by predicting and preventing crimes through the use of Big Data analytics and machine learning techniques. The system effectively analyzes large volumes of data from multiple sources such as police records, social media, and CCTV feeds to. identify patterns and forecast potential criminal activities. This project successfully integrates modules for data preprocessing, predictive modeling, visualization, and alert notification, ensuring that the system operates efficiently and delivers accurate results. It assists police departments in decision-making, resource allocation, and timely preventive action based on reliable data insights. The results demonstrate that predictive analytics can significantly enhance policing by reducing manual work and enabling quicker, smarter responses. By converting raw data into meaningful insights and visual representations, the system helps law enforcement act proactively rather than reactively. In conclusion, this project proves that Big Data-based predictive policing can greatly improve public safety and operational efficiency. It marks a step toward the future of smart policing, where technology and data work together to create safer and more secure communities.
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Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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