Intelligent Systems for Remote Sensing and Environmental Monitoring in Industry 6.0: Advances and Challenges for Sustainable Development

Dynamic Dashboards for Machine Learning-driven Remote Sensing Data Visualization in Higher Education Advancing Towards Industry 6.0

Author(s): Vijay Arputharaj J.*, K. Deeba, D. Karthika and Ramesh Kumar Ayyasamy

Pp: 238-263 (26)

DOI: 10.2174/9798898812461126050011

* (Excluding Mailing and Handling)

Abstract

The convergence of Industry 6.0 technologies, machine learning, and generative AI is transforming higher education by enabling automated and intelligent data visualization systems. This chapter, “Dynamic Dashboards for Machine LearningDriven Remote Sensing Data Visualization in Higher Education Advancing Towards Industry 6.0,” presents a framework for automating complex academic workflows using tools like Streamlit, Gemini, and GPT-based APIs. Key automation processes include course planning, pedagogical recommendations, student list-based guide assignments, and automated evaluation generation, all of which drive a shift toward data-informed, responsive university systems. By integrating remote sensing data and intelligent dashboards, this approach enhances decision-making, student support, and resource management within educational institutions. The chapter concludes with insights into data privacy, ethical considerations, and future directions for Industry 6.0- driven advancements in education. 


Keywords: Data visualization, Generative AI, Industry 6.0 in education, Remote sensing data, Streamlit dashboards.