MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043585 A) filed by Manchala Venkatesh; Mr. D. Suresh; Annareddy Raja Reddy; Vennapusa Santhosh Kumar Reddy; and Kallepalli Umamaheswar Reddy, Kurabalakota, Andhra Pradesh, on April 6, for 'smart-ems: real-time demand forecasting and intelligent dispatch using random forest.'
Inventor(s) include Manchala Venkatesh; Mr. D. Suresh; Annareddy Raja Reddy; Vennapusa Santhosh Kumar Reddy; and Kallepalli Umamaheswar Reddy.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A comprehensive web-based platform for efficient response to emergencies management and real-time demand forecasting must be designed in order to create a dynamic and intelligent Smart Ambulance Allocation System. By examining several variables, including location, time, traffic density, population distribution, and emergency severity, this approach makes it possible to accurately predict emergency hotspots and ambulance response times. The Random Forest algorithm and other machine learning approaches are integrated into the system to deliver data-driven insights that support the best ambulance dispatch choices. While managers can track real-time ambulance availability and anticipated high-demand zones, users can report crises via the platform's user-friendly interface. The system guarantees smooth communication between frontend and backend components by using technologies like Python, Flask, HTML, React, CSS, JavaScript, and MySQL. This clever method is appropriate for use in contemporary smart city settings since it improves healthcare outcomes, decision-making, and resource utilisation."
Disclaimer: Curated by HT Syndication.
