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This research presents a Crime Rate Prediction System utilizing machine learning to enhance proactive policing in Indian metropolitan cities, addressing the inadequacies of traditional reactive methods. By analyzing historical crime data with algorithms like Random Forest and SVM, the system aims to identify crime hotspots and predict future trends, thereby optimizing police resource allocation. The study also discusses the ethical implications of AI in public safety and the potential for future enhancement

Author

bachhavanish153

Language

EN