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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling SoftwareBy Tamada Kiran Deepthi, Makineedi Triveni, Setti Venkata Kalyani, Lakkavarapu Hemanth, Manas Kumar Yogi
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article →