MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621070763 A) filed by Abdul Razzak Khan Qureshi; Dr. K N Venkata Ratna Kumar; Dr. Kunthumalla Latha; Sree Vidhya. S; Dr Lalit Mohan Trivedi; Dr A Hariprasad Reddy; Dr. Sheetal Suresh Sukate; Dr B Gayathri; Patel Amit Kumar Rajesh Kumar G; J A Jevin; Dr. Rekha Tiwary; and Anvesh Perada on June 06, 2026, for Machine Learning-Based System For Personalized Skill Gap Analysis And Career Guidance In Higher Education.
Inventors include Abdul Razzak Khan Qureshi; Dr. K N Venkata Ratna Kumar; Dr. Kunthumalla Latha; Sree Vidhya. S; Dr Lalit Mohan Trivedi; Dr A Hariprasad Reddy; Dr. Sheetal Suresh Sukate; Dr B Gayathri; Patel Amit Kumar Rajesh Kumar; J A Jevin; Dr. Rekha Tiwary; and Anvesh Perada.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention relates to the development of a machine learning-based system intended to provide university students with automated career advising and individualized skill gap analysis. The system continuously compiles information from real-time job listings, extracurricular profiles, and student academic records. The method precisely isolates crucial skill inadequacies by mapping an individual's present competencies against industry requirements using sophisticated natural language processing and predictive classification algorithms. As a result, it produces optimized long-term career trajectories, specific micro-credential pathways, and customized training recommendations. Initial assessments show a high degree of accuracy in pinpointing certain skill shortages and forecasting workable job alignments. This intelligent architecture helps institutions maximize academic interventions while enabling students to improve their employability through scalable, actionable insights. FIG.1
Disclaimer: Curated by HT Syndication.
