The demand for accessibility and dynamism in the rapidly changing field of modern education has made a shift away from traditional teaching methods necessary. Acknowledging the shortcomings of a solitary approach to education, this project sets out on an innovative path to embrace and celebrate the wide range of individual learning preferences. Using cutting-edge technologies and data analysis to improve education is the project’s primary goal. With this aim, we created a framework for Personalized Student Engagement Medium Recommendation System (PSERMRS). PSERMRS which aims to predicts a setting where every learner is driven to the most real communication medium, arranging itself as a driving force in the education field. This approach is free from the limitations of conventional pedagogy by exploiting data analytics and cutting-edge technology to examine every participants’ distinct requirements and preferences. Analyses of data to identify patterns and trends that can understand and predict different learning styles and give appropriate recommendations is the ultimate aim of PSERMRS.