Empowering Tribal Students through AI-Driven Personality Development Programs

Authors

  • Shilpi Sanjay Dey Valia Chhaganlal Laljibhai College of Commerce & Valia Lilavantiben Chhaganlal College of Arts, Mumbai, Maharashtra
  • Rajlaxmi Nayak Valia Chhaganlal Laljibhai College of Commerce & Valia Lilavantiben Chhaganlal College of Arts, Mumbai, Maharashtra

Keywords:

AI, Driven, Tribes, Infrastructure, Access, Barriers, Adaptive, Intelligence, Leadership, Self-confidence,

Abstract

Tribal students in India face multifaceted challenges that extend beyond academic learning, including socio-economic barriers, cultural disconnection, language difficulties, and limited access to holistic development opportunities. While traditional educational interventions have focused primarily on infrastructure and curriculum modifications, there remains a critical gap in addressing personality development and soft skills—competencies essential for success in modern educational and professional environments. This research paper explores the potential of Artificial Intelligence (AI)-driven personality development programs as transformative tools for empowering tribal students. By examining current challenges in tribal education, analyzing emerging AI technologies for personalized learning, and proposing implementation frameworks, this study demonstrates how AI can bridge the development gap and enable tribal youth to achieve their full potential. The integration of culturally sensitive, adaptive AI systems offers unprecedented opportunities to deliver customized personality development interventions that respect indigenous identities while building critical life skills including communication, emotional intelligence, leadership, and self-confidence.

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Published

2026-03-24

How to Cite

Shilpi Sanjay Dey, & Rajlaxmi Nayak. (2026). Empowering Tribal Students through AI-Driven Personality Development Programs . The Voice of Creative Research, 8(1), 223–233. Retrieved from https://thevoiceofcreativeresearch.com/index.php/vcr/article/view/294

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Section

Research Article