Crime Prediction and Forecasting Using Deep Learning and Machine Learning Techniques

Abstract

Understanding crime patterns is crucial for being better equipped to respond to criminal behavior. We examine city-level crime statistics for our study. Understanding crime patterns is crucial for being better equipped to respond to criminal behavior. We examine city-level crime statistics for our study. Predicting which type of crime is most likely to occur given the time and location in a city is the initial job. It is now possible to utilize AI and machine learning to identify crime using sound or video, and this technology is effective. Although it is still mostly unknown, using AI/ML to predict crimes or a person's propensity to commit one offers potential. The largest difficulty will likely be "proving" it to lawmakers. A mechanism that is intended to prevent something from occurring It is challenging to demonstrate the opposite. Businesses who are actively involved in providing governments with AI technology to monitor regions or predict crime will definitely benefit from a positive feedback loop. As crime prevention technology develops, it is projected that the overall cost of this equipment would increase. We also make an effort to increase the significance of our categorization work by combining smaller groups into larger ones. Finally, we discuss potential directions for future research after reporting and reviewing our findings using several classifiers.