MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202631086392 A) filed by Dr. Nita Nath; Dr. Parag Rastogi; Dr. Romeet Saha; Abhijeet Gajanan Chimankar; Ms. S. Kasthuri; G. Kavitha; Vishwanil Suman; M. Sathish Kumar; Bandaru Satya Lakshmi; Dr. Gopaldas H Waghmare; Mr. J. Senthil Kumar; and Dr. L. Karthick on July 15, 2026, for Ai-Driven Context-Aware Intelligent Data Processing And Decision Support System.
Inventors include Dr. Nita Nath; Dr. Parag Rastogi; Dr. Romeet Saha; Abhijeet Gajanan Chimankar; Ms. S. Kasthuri; G. Kavitha; Vishwanil Suman; M. Sathish Kumar; Bandaru Satya Lakshmi; Dr. Gopaldas H Waghmare; Mr. J. Senthil Kumar; and Dr. L. Karthick.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a method for the development of an AI-enabled context-aware intelligent system for data processing and decision making that will be able to extract valuable insights from heterogeneous data to help make decisions in real time. This system will combine multichannel data collection, context- awareness, AI-based analytics, and adaptive decision-making capabilities in one computerized framework. Machine learning and deep learning algorithms are going to constantly analyze both structured and unstructured data, whereas a context inference engine is going to identify contextual, temporal, operational, and personal factors to increase the accuracy of the analysis. A dynamic knowledge base and a feedback learning algorithm are going to constantly update the algorithms for more accurate and personalized recommendations. Other features include anomaly detection, predictive analytics, explainable AI, and automatic alerts for greater transparency and efficiency. The system will provide context-aware, data-driven recommendations in real time, thus increasing the accuracy and efficiency of decision making. FIG.1
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