CrimeScope - Urban crime Heatmap analysis and Prediction

Project Description

it is is a critical requirement for law enforcement agencies, urban planners, public
safety researchers, and policymakers. The ability to visualise, analyse, and predict crime patterns across different regions enables more effective resource allocation, preventive policing, and evidence-based policy formulation. However, comprehensive crime intelligence tools that integrate interactive maps, trend analytics, and machine learning predictions into a single accessible platform have remained largely limited to proprietary systems.

The Urban Crime Heatmap Predictor — developed under the name CrimeScope — is an end-to- end data analytics and machine learning dashboard built using Python and Streamlit. It provides interactive visualisation of global crime patterns, city-level hotspot mapping, multi-model crime rate prediction, anomaly detection, and data exploration across 17 countries, 7 crime categories, and the years 2010 to 2023.

Technology Used

Output

This project you will get

• Project zip file
• Execution guide
• PPT
• Report