Applications of Artificial Intelligence Across Domains: An Interdisciplinary Approach with No-Code Tools and Real-World Use Cases
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The content follows an interdisciplinary approach as recommended by NEP-2020, enabling students from diverse academic backgrounds to understand, apply, and experiment with AI. Special focus is given to no-code and low-code platforms, making AI learning accessible to non-programmers. Real-world case studies, practical tools, ethical discussions, and hands-on workflows help learners connect theory with practice.
This book is suitable for undergraduate students, educators, and early-stage researchers, and serves as a valuable learning resource for skill development, project-based learning, and applied research.
Objectives of the Book
To provide a strong foundation in Artificial Intelligence concepts and data fundamentals.
To explain AI applications across science, commerce, business, social sciences, arts, and humanities.
To promote interdisciplinary learning in line with NEP-2020.
To introduce no-code and low-code AI tools for easy application development.
To support experiential learning through real-world case studies and workflows.
To build ethical awareness and responsible AI practices.
To encourage undergraduate research, innovation, and project development.
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Graderings en resensies
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Suneel Kumar Duvvuri is a passionate educator of technology, working as a Lecturer in Computer Science at Government College (Autonomous), Rajahmundry. With a strong technical and research background, Suneel is committed to empowering learners with the knowledge and skills needed to understand the rapidly evolving digital world. His mission is to make complex concepts simple, accessible, and meaningful for everyone.
