MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122844 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'system for productivity enhancement using machine-learning-driven insights.'
Inventor(s) include Dr. Devkanya Gupta; Dr. Chahat Rao; and Dr. Mohd. Anas Kamil.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system for productivity enhancement using machine-learning-driven insights. The system integrates multimodal data inputs including behavioral signals, workflow interactions, contextual indicators, and environmental parameters to generate real-time, adaptive productivity recommendations. A data acquisition module captures operational and behavioral data, while a preprocessing engine normalizes and structures the information. A behavioral modeling unit identifies user-specific patterns, task rhythms, and attention transitions, and a context interpretation layer assesses workload density, interruption events, collaboration intensity, and environmental stimuli. A machine-learning analytics engine applies predictive modeling, pattern recognition, and anomaly detection to identify inefficiencies, forecast performance trends, and generate personalized insights. A recommendation generator produces user-specific guidance for workflow optimization, and an interface layer delivers the insights through minimally disruptive interactions. The system also enables enterprise-level aggregation of anonymized productivity trends for organizational decision-making. The invention provides an adaptive, context-aware, machine-learning-based framework that enhances individual and organizational productivity through dynamic, data-driven intelligence."
Disclaimer: Curated by HT Syndication.
