Smart Crime Analysis-LSTM & ARIMA Model

Authors

  • P Ganesh Kumar Professor, Department Of IT, Bhoj Reddy Engineering College For Women, India. Author
  • Akshaya Singh, Gangapuram Chaitanya, Harini Sree Erra B. Tech Students, Department Of IT, Bhoj Reddy Engineering College For Women, India. Author

Keywords:

Crime forecasting, spatial and temporal data, GUI implementation, LSTM, ARIMA, urban safety.

Abstract

The importance of crime analysis in our day-to-day lives cannot be empha-sized, as it serves as a crucial tool for law enforcement and urban planning to interpret criminal activity and take preventative action. On the other hand, tra-ditional approaches frequently have constraints that affect their effectiveness in allocating resources and making decisions. Acknowledging these difficulties, we propose a unique solution that combines LSTM and ARIMA models. This ground-breaking approach solves the shortcomings of conventional methods by seamlessly integrating temporal and spatial data. It represents a revolutionary leap forward. Apart from improving forecast accuracy, this advanced hybrid model becomes a flexible and accurate instrument that drives progress in pub-lic safety and urban planning in the face of complicated modern-day criminal environments. Our hybrid approach represents a paradigm leap by proactively limiting current disadvantages and providing a sophisticated and effective re-sponse to the always-changing problems of crime analysis in our contemporary urban cultures.

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Published

2025-06-20

Issue

Section

Articles

How to Cite

Smart Crime Analysis-LSTM & ARIMA Model. (2025). International Journal of Engineering and Science Research, 15(3s), 415-426. https://ijesr.org/index.php/ijesr/article/view/172

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