MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202621021829 A) filed by Chameli Devi Group Of Institutions on February 24, 2026, for A System And A Method For Artificial Intelligence-Enabled Predictive Analysis Using Adaptive Digital Twin Modeling And Edge-Federated Contextual Learning.
Inventors include Dr. Kapil Tarey; and Dr. Manish Shrivastava.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: ABSTRACT A SYSTEM AND A METHOD FOR ARTIFICIAL INTELLIGENCE-ENABLED PREDICTIVE ANALYSIS USING ADAPTIVE DIGITAL TWIN MODELING AND EDGE-FEDERATED CONTEXTUAL LEARNING The present disclosure relates to a system and method for artificial intelligence-driven predictive analysis designed to produce real-time, adaptive, and dependable predictive insights in dynamic settings. The system has a multi-modal data acquisition unit that gathers real-time data from many different places, an edge preprocessing unit that conditions signals and extracts features, and a digital twin predictive simulation engine that makes a dynamic virtual version of a prediction environment. The system also has an adaptive contextual intelligence module that finds situational variables that affect predictive outcomes, an edge-federated learning coordination unit that trains predictive models across multiple locations, and a predictive confidence stabilization module that measures uncertainty and makes sure that predictive outputs are reliable. A processor is set up to do predictive analysis by combining real-time data streams, contextual intelligence processing, and digital twin simulations. A predictive policy optimization engine constantly improves decision parameters, making the predictive intelligence framework adaptable, scalable, and technically sound.
Disclaimer: Curated by HT Syndication.
