Paper Title
Wisdom Meets Intelligence: Harnessing IKS and AI for Self-Reliant India

Abstract
India’s sustainable and self-reliant development requires the integration of Indian Knowledge Systems (IKS) with Artificial Intelligence (AI) to address contemporary challenges in agriculture, health, biodiversity, and education. Inspired by the scientific vision of C. V. Raman, this study explores how indigenous knowledge can synergize with AI technologies to create context-driven, innovative, and ethical solutions. A conceptual and review-based methodology was adopted, analyzing scholarly literature, policy documents, and case studies on IKS, AI applications, and sustainability initiatives. Findings reveal that IKS provides ethical grounding, ecological wisdom, and local adaptability, while AI enhances documentation, predictive analysis, and scalable application of traditional knowledge. Effective convergence depends on faculty and institutional capacity-building, policy support, and ethical safeguards. The study concludes that a Raman-inspired IKS–AI framework can advance inclusive, sustainable, and technologically empowered solutions, promoting India’s vision of self-reliance and global scientific leadership. Keywords - Indian Knowledge Systems (IKS), Artificial Intelligence (AI), Sustainability Raman-Inspired Innovation, Self-Reliant India