MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104205 A) filed by Mlr Institute Of Technology; and Marri Laxman Reddy Institute Of Technology And Management on August 29, 2026, for Ai - Based Skill Gap Analyzer.
Inventors include Mrs. P. Manasa Raj; Ms. M. Nandini; Mr. K. Sai Madhu; Ms. N. Gayatri; and Ms. S. Divya.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: This invention presents a system for skill gap analysis and personalized learning recommendation using an artificial intelligence framework designed to enhance career decision- making and improve employability through adaptive, data-driven insights. The system integrates Natural Language Processing and machine learning techniques to automatically extract and analyze user skills from structured and unstructured data sources such as resumes and manual inputs. A predefined and dynamically updated job-role skill database is utilized to model industry requirements and enable accurate comparison of user competencies with target roles. The system employs vector-based representations and similarity measurement algorithms to generate quantitative skill match scores and identify missing or insufficient competencies. A recommendation engine provides personalized learning pathways, including courses, certifications, and training resources, tailored to the user’s skill profile and career objectives. The framework supports continuous learning by adapting to evolving industry trends and updating skill requirements in real time. An interactive dashboard interface integrates all analytical components, enabling visualization of skill match metrics, gap analysis, and progress tracking. The proposed system enhances accuracy, scalability, and efficiency in skill assessment while ensuring transparency and user-centric recommendations. Through intelligent automation and data-driven evaluation, the invention improves career planning, optimizes learning outcomes, and bridges the gap between individual capabilities and industry demands.
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