• Hema N
• Dhatri V Sharma
• Roohi Ali
• Ananya P
• Parinathi N Swamy

This study focuses on analyzing crime data to predict the likelihood of various crimes occurring at specific times and locations. Utilizing advanced AI and machine learning techniques, our goal is to strengthen crime detection and prevention strategies. While AI applications for crime detection through audio or visual analysis are well-established, forecasting crime occurrences or assessing individuals' propensity for criminal behavior remains relatively unexplored. A significant challenge lies in convincing policymakers of its efficacy, given the difficulty in demonstrating prevention outcomes. However, companies providing AI solutions for crime prediction stand to benefit from positive feedback loops, potentially driving increased investments in crime prevention technologies. Furthermore, we enhance our classification approach by consolidating diverse crime categories. Through a comprehensive examination and evaluation of various classifiers, we present our findings and suggest avenues for future research.

Forecasting, AI solutions, crime prediction, crime prevention, diverse crime categories

"Transforming Policing: Leveraging Predictive Models for Crime Reduction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g513-g521, May-2024, Available :http://www.jetir.org/papers/JETIR2405662.pdf

"Transforming Policing: Leveraging Predictive Models for Crime Reduction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg513-g521, May-2024, Available at : http://www.jetir.org/papers/JETIR2405662.pdf