MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621048743 A) filed by Dr. Sahil Shrivastav; Dr. Priyanka Kumari; Dr. Rajni Choudhary; Dr. Shital Hiraskar; Dr. Chandan Parmar; Ms. Anjali Makwana; Ms. Kunjan Thakkar; and Dr. Asha Devi, Ahmedabad, Gujarat, on April 16, for 'artificial intelligence - based skill gap detection and industry alignment system for education to employment transition.'
Inventor(s) include Dr. Sahil Shrivastav; Dr. Priyanka Kumari; Dr. Rajni Choudhary; Dr. Shital Hiraskar; Dr. Chandan Parmar; Ms. Anjali Makwana; Ms. Kunjan Thakkar; and Dr. Asha Devi.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an artificial intelligence based skill gap detection and industry alignment system (100) for facilitating education to employment transition. The system comprises a data acquisition module (110) for collecting data from job portals, employer databases, educational institutions, and learner profiles; a skill extraction engine (120) utilizing natural language processing and machine learning for standardized skill identification; a gap analysis processor (130) for computing semantic similarity based gap scores between possessed and required skills; an industry alignment module (140) for contextualizing gaps with predictive industry trends; a recommendation engine (150) for generating personalized learning pathways; and a user interface module (160) for interactive visualization. The system employs transformer-based language models, semantic matching algorithms, and multi-objective optimization to provide comprehensive, real-time skill gap analysis and actionable remediation recommendations for learners, educators, and employers."
Disclaimer: Curated by HT Syndication.
