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Wategaonkar Somnath R. is an Assistant Professor in the Department of Electronics and Telecommunications Engineering at Bharati Vidyapeeth College of Engineering, Navi Mumbai. His research interests include communication systems, IoT, embedded technologies, and intelligent networks. He has contributed to academic research and engineering education through teaching and project supervision. His work focuses on technology-enabled solutions for real-world challenges.
This chapter offers a thorough examination of AI-driven identification and prediction of social media addiction and its effects on student productivity and academic performance. It stresses the need to combine artificial intelligence, machine learning, and data-driven methods to change how schools work today. The conversation talks on important frameworks, algorithms, and technology methods that make it easier to keep an eye on, forecast, and enhance student results. The suggested methods use big datasets and smart analytics to help with personalised learning, quick intervention, and smart academic decision-making. The chapter also looks at practical uses, such as real-time analytics, adaptive systems, and predictive modelling, that make teaching more successful and keep students interested.