Urban Indigenous Skill Development and Employability through AI-Driven Multilingual Education Systems: A Human Resource and Policy Perspective

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T. Gouthami , Dr.D. Ramesh Babu , Dr. K. Subramani, Lingala Mounika , Surthi singapuram

Abstract

Abstract: In the recent decades the migration of indigenous communities towards urban areas has risen dramatically as a result of seeking education, jobs and better living standards. Nevertheless, the indigenous youth as they go to urban areas are usually faced with issues of language barrier, lack of skill development programs, cultural displacement, and systemic inequalities in workplace labor markets. Based on Human Resource Development and Educational Policy outlooks, the chapter suggests a Multilingual AI Learning Framework to bring together the indigenous languages (i.e., Gondi, Lambadi, and Koya) with the mainstream academic and workplace languages (Telugu, Hindi and English). The framework will enhance the foundational skill shortages, digital readiness issues, and employability issues among the indigenous learners in urban locations by enabling cultures relevant and linguistically adaptive learning pathways. The paper also discusses how AI-based skill mapping, vocational advice systems, and contextualized language learning systems can be useful in facilitating job opportunities in fields like healthcare, construction, retail, hospitality, and digital servicesThe methodology of the chapter combines policy review, secondary data analysis, and case evidence in the regions of the Integrated Tribal Development Agency (ITDA) to demonstrate the connection between the access to language, continued education, and workforce inclusion. The policy instruments that are also assessed in the discussion are the National Education Policy (2020) focusing on mother-tongue-based learning, introduction of digital capabilities, and development of competencies, which can play a significant role in reducing educational exclusion, enhancing job readiness, and fostering the preservation of indigenous cultures in urban labour markets. It wraps up by suggesting an implementation framework, which links the five parts of the city, learners of information and communication technologies, educational institutions, and digital learning communities to develop sustainable, equitable and culturally responsive commitment of pathways to indigenous youth employability.

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How to Cite
T. Gouthami , Dr.D. Ramesh Babu , Dr. K. Subramani, Lingala Mounika , Surthi singapuram. (2026). Urban Indigenous Skill Development and Employability through AI-Driven Multilingual Education Systems: A Human Resource and Policy Perspective. Journal of Daoist Studies, 19(S6), 385–398. Retrieved from https://journalofdaoiststudies.org/index.php/journal/article/view/1065
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