Natural language processing (NLP) and genetic algorithms (GA), blended with machine learning, create new opportunities in the field of education. In today’s world, many students come under pressure from social factors and cannot clearly understand their passions and interests. Guiding learners through a variety of options and developing an atmosphere that promotes teamwork and personal advancement is critically essential. We intend to analyze students’ interests, trends in industry, and courses of study through the integration between GA models and NLP techniques to develop a recommendation system which customizes individual paths for learning for each user. We aim to surpass traditional standards of education and emphasize continuous improvement using genetic algorithms that make use complex selection strategies like the Roulette wheel. Additionally, Bayesian learning methods are employed to enhance recommendations and make them more consistent with learners’ needs. The goal of the recommendation system is to provide customers with a straightforward and step-by-step road map for their educational journey in addition to identifying appropriate courses.