MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048362 A) filed by Saveetha Engineering College on April 16, 2026, for Nxgca: The Next Generation Career Advisory.

Inventor includes N. Madhumitha.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: ABSTRACT AI-driven career advisory system designed to deliver personalized, data-informed guidance to students and job seekers. Traditional career counselling methods often provide generic recommendations that fail to account for individual skills, interests, and evolving industry demands. NxGCA addresses this gap by integrating deep learning and natural language processing (NLP) techniques to analyze user profiles, resumes, and job market data in a unified framework. The system employs a hybrid recommendation architecture that combines user feature embeddings with job role representations to predict suitable career paths. A resume analysis module, powered by transformer-based models, extracts key skills and experiences, which are then compared against industry requirements to identify skill gaps. Based on this analysis, NxGCA generates personalized learning roadmaps, recommending courses and projects tailored to the user's career goals. Additionally, the platform includes a job matching engine that ranks opportunities according to relevance and readiness. To enhance transparency, NxGCA incorporates explainable AI techniques, providing users with clear justifications for each recommendation. The system is deployed through a scalable web-based interface, enabling real-time interaction and feedback. Experimental evaluation demonstrates improved recommendation accuracy and user satisfaction compared to traditional rule-based systems. By bridging the gap between academic preparation and industry expectations, NxGCA empowers users to make informed career decisions and systematically develop the skills required for future success. This work highlights the potential of AI in transforming career guidance into a dynamic, personalized, and scalable

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