MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123773 A) filed by Ms. S. Sasikala; Ms. V. Indira; Ms. K. Punithasurya; and S. A. Engineering College, Chennai, Tamil Nadu, on Dec. 8, 2025, for 'data-driven crime forecasting and hotspot detection system.'
Inventor(s) include Ms. S. Sasikala; Ms. V. Indira; and Ms. K. Punithasurya.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "This framework presents a machine learning-driven crime prediction system that enhances early intervention and public safety. The platform integrates historical crime data with socio-economic indicators such as population density, unemployment rate, and poverty levels. Data preprocessing, feature engineering, and model optimization are applied to improve prediction accuracy. Algorithms like Random Forest, XGBoost, and Prophet are used to forecast crime trends. Interactive visualizations including graphs, heatmaps, and temporal plots support better understanding of patterns. The model identifies high-risk zones, seasonal variations, and potential future hotspots. It shifts crime analysis from static reporting to dynamic, automated prediction. The system provides actionable insights for patrol planning and community awareness. Law enforcement agencies can use the tool for optimized resource allocation. Overall, the framework supports data-driven decision-making and proactive crime prevention."
Disclaimer: Curated by HT Syndication.
