Published Paper Details:

- Machine learning for crime analysis and prediction is a novel method that makes use of cutting-edge computational techniques to analyze past crime data, spot trends, and predict criminal activity. The goal of this project is to create a machine learning-based application that can evaluate crime statistics from various Indian states and classify them as high, moderate, or low depending on how frequently crimes occur. We will recommend the necessary preventive measures and some precautions before visiting a specific crime hotspot based on the frequency of specific crimes in specific states. The methodology comprised classifying crimes using a linear regression model, then grouping states according to their crime rates using k-means clustering. The study's findings showed that the machine learning model was effective in precisely. categorizing offenses. The creation of an application that gives users insightful information about crime rates in various states is the research's unique contribution.