(Sr. Geethanjali College of Engineering and Technology, India)
Mohammad Naseeruddin is a Senior Assistant Professor in the Department of Computer Science and Engineering at Geethanjali College of Engineering and Technology, Telangana. His research interests include IoT, software engineering, machine learning, and educational technologies. He has extensive teaching experience and has guided numerous student projects. His work focuses on intelligent systems and academic innovation.
Mohammad Naseeruddin, G. Venu Ratna kumari. In: AI, ML, and IoT-Enabled Smart Education Systems: Data-Driven Frameworks for Enhancing Student Learning, Wellbeing, and Academic Innovation in Higher Education — ISBN: 978-81-69011-10-5. Pages: 287 - 316
This chapter offers an in-depth examination of a smart IoT-based internship and placement monitoring tool designed for real-time assessment of student skills and performance analysis. It stresses how important it is to use artificial intelligence, machine learning, and data-driven methods to change how schools work today. The chapter also talks about how real-time analytics, adaptive systems, and predictive modelling can be used in real life to make teaching more successful and keep students interested. To make sure that the implementation is responsible, we carefully look at problems like data quality, scalability, privacy issues, and ethical concerns. In general, this chapter shows how intelligent systems can fill in the holes in traditional education by providing scalable and creative solutions that boost performance, inclusivity, and long-term academic achievement in a variety of learning settings.
