SMART CRIME ANALYTICS AND HIGH-RISK ZONE FORE CASTING SYSTEM USING HISTORICAL CASE RECORDS AND GEO VISUALIZATION

The Smart Crime Analytics and High-Risk Zone Forecasting System is an intelligent data analytics platform developed using Streamlit, Pandas, and Folium to analyze historical crime datasets and forecast high-risk areas through geo-visualization and temporal trend analysis. The system enables users to upload crime records, apply city and crime-type filters, and visualize spatial crime patterns via interactive heatmaps and marker clusters. It computes risk levels by aggregating incident frequencies or clusters and presents monthly crime trends for predictive insights. By integrating data preprocessing, geospatial mapping, and predictive analytics, the platform aids law enforcement agencies in strategic decision-making, crime prevention, and resource optimization. In addition, the system incorporates automated data cleaning and validation mechanisms to handle missing values, inconsistent entries, and duplicate records, ensuring high data quality and reliability of analysis. It also supports real-time dashboard updates and dynamic visual analytics, allowing stakeholders to monitor evolving crime patterns and rapidly respond to emerging threats. Furthermore, the platform is designed with scalability and modular architecture, enabling integration with external data sources such as demographic statistics, weather data, and surveillance inputs to enhance predictive accuracy and long-term strategic planning.