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B. Chandra Sekhar is an Assistant Professor in the Department of Mathematics at Vardhaman College of Engineering, Hyderabad. His academic interests include applied mathematics, statistical modeling, data analytics, and educational research. He has extensive teaching experience and actively participates in interdisciplinary research activities. His work focuses on analytical approaches for decision-making and student development.
This chapter offers an in-depth examination of an AI-driven decision support system aimed at improving student career recommendations, employability, and placement results. It focuses on how to change modern education systems by using artificial intelligence, machine learning, and data-driven methods. 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. 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.