MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621099833 A) filed by Dr. Chetana Babanrao Jadhav; and Mrs. Vaishali Raju Ohol on August 18, 2026, for A Smart System For Skill Development, Employment Mapping And Economic Forecasting In The Humanities Sector.
Inventors include Dr. Chetana Babanrao Jadhav; and Mrs. Vaishali Raju Ohol.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT [505] The present invention discloses an intelligent, integrated computational system for skill development, employment mapping and economic forecasting specifically tailored to the humanities sector, wherein the system combines skill-gap identification, career-pathway recommendation, real-time labour- market mapping and predictive economic modelling to address the persistent underrepresentation of humanities disciplines within existing workforce-analytics and skill-forecasting technologies. [510] The system employs a multi-module architecture integrating natural language processing, machine learning-based classification and statistical forecasting techniques to analyse learner profiles, curriculum data, occupational classifications and macroeconomic indicators, thereby generating personalized skill-development recommendations, sector-specific employment maps and forward-looking economic trend forecasts relevant to humanities graduates and professionals. [515] The invention incorporates a skill-taxonomy engine that maps humanities-specific competencies including critical thinking, linguistic proficiency, cultural analysis, historical interpretation, communication and creative reasoning against evolving industry requirements, enabling dynamic identification of skill gaps and generation of targeted upskilling and reskilling pathways. [520] An employment-mapping module correlates humanities qualification with occupational classification codes, industry sectors and regional labour-market data, producing an interactive, continuously updated employment map that identifies emerging, declining and stable career pathways available to humanities-trained individuals. [525] An economic forecasting module applies time-series and machine-learning- based predictive models to macroeconomic, employment and sector-growth data to project future demand for humanities-linked skills and occupations, supporting evidence-based decision-making for learners, educators and policymakers. [530] The invention provides a unified, scalable and adaptable platform that bridges the historical gap between humanities education and quantitative workforce-planning tools, offering a practical, data-driven solution for enhancing the employability and economic relevance of humanities graduates. [535] The system demonstrates adaptability across diverse educational institutions, government skill-development bodies and private-sector training organizations, validating its effectiveness through continuous learning from updated labour-market, curriculum and economic datasets. [540] The developed framework enables sustainable, evidence-based skill development and employment planning for the humanities sector through an AI-powered, continuously self-improving system, offering significant advantages over generic, discipline-agnostic workforce-analytics tools currently available.
Disclaimer: Curated by HT Syndication.
