Design a crime analytics system that analyzes historical crime data to identify hotspots and predict potential future incidents. The platform will support law enforcement agencies in resource allocation and preventive planning using geospatial and predictive analytics.
Collect publicly available crime datasets.
Clean and preprocess location-based data.
Perform geospatial analysis to identify hotspots.
Implement clustering algorithms such as K-Means.
Apply predictive modeling to forecast crime patterns.
Visualize crime density using heatmaps.
Develop dashboards with filters for crime type and location.
Evaluate model performance.
Ensure ethical data usage and privacy compliance.
Prepare analytical reports with recommendations.
