2025, Vol. 6, Special Issue 2
Auto skill navigator: Pioneering personalized learning and skill development
Author(s): Chiranjeevi Kanaka Bhushnam Poduri, Supriya Mathyam, Mouna Meghana Nagala and Sree Vidya Yalla
Abstract: The transition to a green economy and the pursuit of climate resilience demand rapid and targeted upskilling and reskilling across sectors. However, traditional workforce development approaches often lack personalization, scalability, and alignment with evolving sustainability goals. This paper presents Auto-Skill Navigator, an AI-powered personalized learning system designed to address these challenges by enabling dynamic and role-specific skill development tailored to the green transition. By leveraging advanced technologies such as GPT-3, recommender systems, and real-time skill-gap analysis, AutoSkill Navigator identifies critical competencies for emerging green roles and generates individualized learning roadmaps using freely available, high-quality online resources. The system also integrates climate-relevant content, tracks progress through adaptive feedback loops and connects learners with relevant sustainability communities and knowledge networks. This AI fosters continuous learning while aligning individual growth with organizational and environmental objectives. Through practical use cases and policy-aligned applications, the paper demonstrates how Auto-Skill Navigator can serve as a strategic tool in preparing a climate-resilient, future-ready workforce. Additionally, it outlines key metrics for evaluating impact and scalability, along with considerations for ethical AI use and inclusivity in green workforce development.
DOI: 10.22271/27084515.2025.v6.i2Sc.689
Pages: 183-188 | Views: 148 | Downloads: 38
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How to cite this article:
Chiranjeevi Kanaka Bhushnam Poduri, Supriya Mathyam, Mouna Meghana Nagala, Sree Vidya Yalla. Auto skill navigator: Pioneering personalized learning and skill development. Asian J Manage Commerce 2025;6(2S):183-188. DOI: 10.22271/27084515.2025.v6.i2Sc.689
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