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Abstract: India’s national vision of Viksit Bharat 2047 aims to transform the country into a self-reliant, inclusive, technology-enabled, and globally competitive knowledge economy by the centenary of Independence. In this transformation, libraries must evolve from conventional storehouses of print materials into intelligent, AI-powered knowledge ecosystems that enable equitable access to learning resources, research support, cultural preservation, and community empowerment. Traditional Library Management Systems (LMS) have played a foundational role in cataloging and circulation, but they often lack the capacity to handle multilingual user demands, unstructured digital content, rapid growth of scholarly data, and user-centered knowledge discovery. This research paper proposes a comprehensive framework titled the “Vidya-Grid Architecture” for building Intelligent Library Systems (ILS) across India. The framework is structured into four interdependent layers: Infrastructure & Connectivity, AI & Knowledge Processing, User-Centric Services, and Cultural & Ethical Governance. The paper discusses practical applications such as multilingual NLP search, smart metadata generation, predictive collection planning, AI-based research assistants, chatbot reference services, immersive learning through AR/VR, and large-scale digitization of Indian Knowledge System (IKS) resources. It also addresses core challenges including the digital divide, privacy compliance, algorithmic bias, and skill gaps in LIS professionals. Recent policy momentum such as NEP 2020, the National Digital Library of India (NDLI) ecosystem, and the National Mission on Libraries (NML) provides a strong institutional foundation for implementing intelligent libraries at national scale. The paper concludes that intelligent libraries are not just a technological upgrade but a democratic necessity, enabling knowledge access as a right and supporting India’s national growth goals through innovation, literacy, research excellence, and cultural continuity.