Smart Crime Analysis-LSTM & ARIMA Model
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.