Ai-based Crime Reporting And Pattern Analysis System

Abstract

In The Modern Era Of Digital Law Enforcement, Efficient Crime Reporting And Pattern Analysis Play A Vital Role In Public Safety And Resource Optimization. However, Traditional Crime Reporting Systems Suffer From Manual Processing Delays, Inconsistent Classification, And Limited Analytical Capabilities. This Paper Proposes An AI-Based Crime Reporting And Pattern Analysis System That Combines Rule-based Natural Language Processing With Interactive Data Visualization. The System Automatically Classifies Crime Descriptions Into Specific Categories Using Comprehensive Keyword Dictionaries And Provides Law Enforcement Agencies With Real-time Analytics Dashboards For Crime Pattern Recognition. Developed Using Streamlit Framework With Python Backend, The System Features Role-based Access Control, Transparent AI Explanations, And Comprehensive Data Management. During Testing, The System Successfully Processed Multiple Crime Reports With 95% Confidence For Cybercrime Classification And 66% Average Confidence Across All Categories, Demonstrating Its Practical Utility In Modern Law Enforcement Operations.

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