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M. Saranya is an Assistant Professor in the Department of Electronics and Communication Engineering at J. J. College of Engineering and Technology, Tiruchirappalli. Her research interests include embedded systems, IoT, artificial intelligence, and communication technologies. She has guided several student projects and research initiatives. Her work emphasizes innovative technological solutions for educational and societal needs.
This chapter provides an in-depth examination of a predictive analytics framework utilising AI and ML to enhance student entrepreneurship and innovation skills in higher education. It stresses the need to use artificial intelligence, machine learning, and data-driven methods to change how schools work today. The conversation focuses on important frameworks, algorithms, and technological methods that make it easier to keep an eye on, forecast, and enhance student results. 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.