MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541133261 A) filed by Sathyanarayanan Rajagopal, Bangalore, Karnataka, on Dec. 29, 2025, for 'ai-based system and method for skill gap identification, personalized rectification, and industry-agnostic upskilling.'
Inventor(s) include Sathyanarayanan Rajagopal.
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 an artificial intelligence-based system and method for identifying, assessing, and rectifying skill gaps and enabling personalized, industry-agnostic upskilling. The invention provides a computer-implemented framework that captures user skill data, contextual attributes, learning preferences, and performance signals to generate a multi-dimensional user skill representation. The system evaluates the user skill representation against role-based and industry-specific competency frameworks to identify and quantify skill deficiencies. Based on the identified skill gaps, the invention generates personalized skill rectification pathways configured to remediate missing skills through adaptive sequencing, difficulty adjustment, and validation checkpoints. As part of the rectification process, the system may utilize contextual and experience-aligned instructional mechanisms to explain concepts using examples relevant to the user's background, interests, or prior experience, thereby improving comprehension and practical applicability. The system further incorporates an adaptive validation mechanism that continuously evaluates user performance and dynamically modifies remediation strategies until predefined proficiency thresholds are achieved. The invention is applicable across multiple industries including information technology, manufacturing, healthcare, finance, education, and professional services, and enables scalable, outcome-driven skill development through closed-loop artificial intelligence-based decision-making."
Disclaimer: Curated by HT Syndication.
