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This document outlines an AI-based crime prediction and hotspot alert system that utilizes machine learning techniques, specifically Random Forest classification and K-Means clustering, to predict crime types and identify high-crime areas. The system is developed as a web application with real-time capabilities, providing features such as crime predictions, hotspot visualization, and risk level estimation for users and law enforcement. The proposed solution aims to enhance public safety by enabling informed

Author

22nu1a0583

Language

EN