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@article{173643,
        author = {Tanmay Sandip Ghadigaonkar and Galande Om Ravindra and Neha Santosh Gujar and Shruti Rajesh More},
        title = {Crime Analysis & Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1308-1312},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173643},
        abstract = {Crimes are a social nuisance and it has a direct effect on society government spends lots of money through law enforcement agencies to try and stop crimes from taking place. Today, many law enforcement bodies have large volumes of data related to crimes which need to be processed to turn into useful information. Crime data are complex because they have many dimensions and are in different formats, e.g., most of them contain string records and narrative records. Crimes harm any society both socially and economically. Law enforcement bodies face numerous challenges while trying to prevent crimes.
We propose a Desktop Application for the Analysis of Crime Data to assist law enforcement bodies in performing descriptive, predictive, and prescriptive analysis of crime data. The application has a modular architecture where each component is built separately from each other. The Proposed System will provide police patrol routes, rather than an optimal position for a police car to locate. This is done by considering different periods, Seasons and also special occasions like New Year’s Eve, Christmas, etc. Furthermore using a proper GIS plan, the GIS data can be integrated with the crime data set. In this way, we can significantly improve the precision.},
        keywords = {Crime Prediction, Machine Learning, Geographic Information System (GSI), Pattern Recognition, Predictive Analytics, Artificial Intelligence, Crime Mapping, Big Data Analytics, Law Enforcement Technology.},
        month = {March},
        }