Crime Defender - A Proactive Measure for Community Security

The project's goal is to create a comprehensive system that uses information derived from First Information Reports (FIRs) for hotspot identification, predictive modeling, and an unresolved case reminder system. After the data is meticulously gathered and encoded, machine learning techniques like Support Vector Machines, Gradient Boosting Equipment, and randomly generated forests, for instance, are taught in order to recognize orderly rankings of FIR cases. Stakeholders can obtain valuable information for setting agendas for interventions and allocating substantial finances by employing spatial analytics to identify hotspots based on geographic proximity. To strengthen investigative efforts and enhance case management procedures, a strong reminder system is also incorporated to flag and score outstanding incidents.