MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611089914 A) filed by Dr. Viksit Tripathi; Dr. Swastika Tripathi; Dr. Putti Selvaraj; Dr. Nitesh K Saxena; K. Venkata Lakshmi; and Dr. Meena S on July 23, 2026, for Machine Learning-Based Real-Time Decision Support System.
Inventors include Dr. Viksit Tripathi; Dr. Swastika Tripathi; Dr. Putti Selvaraj; Dr. Nitesh K Saxena; K. Venkata Lakshmi; and Dr. Meena S.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a system and method for real-time decision making using machine learning. The system receives real-time data from one or more sources, preprocesses the data, extracts relevant features, and applies one or more machine learning models to generate predictive outcomes. Based on the prediction results, the system produces timely decision outputs for automated or assisted operations. The invention further includes a feedback mechanism for updating the predictive models to improve accuracy and adapt to changing data conditions. The disclosed system provides low-latency processing, enhanced decision accuracy, continuous learning capability, and scalable deployment across applications including healthcare, finance, manufacturing, transportation, cybersecurity, and smart infrastructure.
Disclaimer: Curated by HT Syndication.
