The Student Carrier Guidance Recommendation System using Machine Learning

Computer Engineering

There has been exponential growth in the area of education, especially the education system has seen enormous growth, which has had some unforeseen impacts on the students. Due to the large increase in the choices, it has become increasingly difficult for the students to select appropriate courses. This leads to an increase in the number of dropouts and lower experience for the student. There have been several systems that have been developed that help the students choose a better course through their aptitude analyzed with the help f some tests. But it lacks a technique that can counsel students based on their emotional states, which would also account for their strengths and weaknesses. This paper proposes a hybrid recommendation model which utilizes the Hidden Markov Model and Collaborative Filtering to provide optimum recommendations to the students.

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