Impact Factor

7.883 Call For Paper

Share on

Author(s):

M. Kanishka | S. Lavanya | A. Akileswari
Keywords:

Crime Classification, Natural Language Processing, Rule-based AI, Police Analytics, Streamlit Dashboard, Law Enforcement Technology, Pattern Analysis
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.