Year: 2025
Type: article
Abstract: Discovering and addressing skill gaps is key in today’s knowledge-driven economy, enabling economic growth while reducing inequalities. Here, I present a novel approach using Generative AI for resume analysis, skill extraction, and personalized recommendations based on cutting-edge research directions. Utilizing high-end natural language processing and data analytics, this method integrates person-specific skills with evolving industry phenomena.The method is designed to combat urgent issues in education and employment, providing key data on skill gaps and improvement routes. Using practical case studies, it illustrates how bespoke guidance can empower individuals in their pursuit of meaningful careers, contributing to sustainable development. This aligns with SDGs 4 (Quality Education), 8 (Decent Work and Economic Growth), 9 (Industry, Innovation and Infrastructure) and 10 (Reduced Inequalities).The paper highlights the revolutionary role that AI can play in making career guidance available to all. Integrating resources for skill enhancement to provide access allows learners from varying backgrounds to gain knowledge from pioneering research and practice. Furthermore, the proposed system is also centered on lifelong learning, which prepares a future-ready workforce to ensure innovation and resilience in a fast-evolving global economy.The implications encourage the inclusion of generative artificial intelligence in educational systems and professional development to optimize human capital. This can minimize opportunity gaps, empower underserved communities, and increase global productivity. The research offers a practical pathway to advance SDGs and build sustainable futures by mapping the direct impact technology has on education, employment, and equity.
Source: THE SCIENTIFIC TEMPER
Author: Partha Majumdar
Institution: Kalinga University
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
Funder: Indian Institute of Science
OpenAlex ID: W4411429225