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@article{179258,
        author = {IRAI ANBU. V and INIYAN.M and RAKESH M.H and HEMACHANDRAN and BALA ABIRAMI.B},
        title = {REAL TIME ALERT SYSTEM BASED ON CRIME AREA MAPPING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6374-6380},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179258},
        abstract = {This project introduces a Real-Time Alert System based on Crime Area Mapping, aimed at improving urban safety through the integration of geospatial analysis, machine learning, and mobile technology. The system focuses on the city of Pune and leverages historical crime data extracted from First Information Reports (FIRs), primarily sourced from government databases. These FIRs, often unstructured and written in Marathi, are processed using Optical Character Recognition (OCR) and Natural Language Processing (NLP) techniques to extract relevant features such as location, time, and type of crime. The addresses are geocoded using APIs, and Kernel Density Estimation (KDE) is applied to identify crime hotspots and compute safety probability scores. The mobile application includes core features like live location tracking, safety score visualization, SOS emergency messaging, and user feedback on local safety conditions. Emergency contacts can be managed, and alerts are sent at regular intervals during distress. Community feedback is incorporated into the system to refine safety ratings and promote public awareness. By combining spatial intelligence with real-time user interaction, this system provides a proactive, scalable, and user-centric approach to crime prevention and public safety management in urban environments. Android Application, is developed using Java and Firebase. It includes real-time location tracking, safety score display, an SOS alert system, emergency calling, and community feedback collection.},
        keywords = {Alert System, Crime Area Mapping, Firebase, Google Maps API, Flask API, Urban Safety, Emergency Alert System.},
        month = {May},
        }