Applications of Artificial Intelligence Across Domains: An Interdisciplinary Approach with No-Code Tools and Real-World Use Cases

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.