An AI-driven crime intelligence platform built for the KSP Datathon 2026 that helps police analyze crime hotspots, uncover repeat-offender networks, and predict station-level crime risk. It combines geospatial analytics, network analysis, XGBoost-based risk prediction, and SHAP explainability to support proactive, data-driven policing.
What is the kkeerthanaaaa/KSP-Hackathon-Deploy GitHub project? Description: "An AI-driven crime intelligence platform built for the KSP Datathon 2026 that helps police analyze crime hotspots, uncover repeat-offender networks, and predict station-level crime risk. It combines geospatial analytics, network analysis, XGBoost-based risk prediction, and SHAP explainability to support proactive, data-driven policing.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the KSP-Hackathon-Deploy issue tracker:
Open GitHub Issues