• PRAJWAL R
• Mrs. BINDU K P
• MOHAMMED YASEEN
• NAGENDRA B N
• NITESH A

The real world of crime analyzing and the investigative process, especially in developing nations like India, the endeavor is often time-intensive. This research endeavors to explore the methodology that can expedite the anticipation of crime types in certain area. Crime, a pervasive social issue impacting individuals worldwide, has experienced a significant surge in years, with a projected in the future. This study aims to furnish law officers and the public with effective crime forecasting tools to optimize resource allocation to prospective crime hotspots. To this end, the previous research work proposes the utilization of a machine algorithm for the detection of crimes cases on collected data, revealing the extent of criminal activities in specific areas. Given the existing gaps in prior studies concerning the crime prediction through learning models, this study has various algorithms, including K-nearest neighbors , decision, support machine and random forest. The algorithm demonstrating the highest accuracy is selected for evaluating the results.

Crime rate, Crime prediction, Machine Learning, Analysis and Forecasting of Crime rate.

"CRIME RATE PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e830-e834, May-2024, Available :http://www.jetir.org/papers/JETIR2405498.pdf

"CRIME RATE PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppe830-e834, May-2024, Available at : http://www.jetir.org/papers/JETIR2405498.pdf