Smart Career Guidance and Recommendation System
lakshmi prasanna,  DR.D.Haritha
Recommender system is a computer program build with the help of experts where the details of the students and their aptitudes help finding a right course for his future. This project proposes feasible predictions for student’s field selection based on their marks and choice of interest. Choosing a right field in CSE/IT stream is very important for his/her future. If the decision went wrong it will be a mismatch between student aptitude, capability and personal interest. This project also reveals the research process for preparation of such a recommender system. Smart Career Guidance Recommendation System is developed for recommending skilling courses and certification courses in the CSE/IT domain. A substantial amount of literature focuses on predicting student performance in solving problems or completing courses. Many Machine learning techniques, such as decision trees artificial neural networks, matrix factorization, collaborative filters and probabilistic graphical models, have been applied to develop student performance prediction algorithms. In this paper, we identify and apply the suitable algorithms for Student specific skill oriented course recommendation system in the CSE/IT domain. We present the dataset built using the questionnaire and skill tests to extract the information regarding their interests, abilities.
Keywords- Machine Learning, Course Recommendation System, Skill Prediction
Cite this Article
lakshmi prasanna,  DR.D.Haritha,   "Smart Career Guidance and Recommendation System"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.633-638, September 2019, Available at :http://www.ijedr.org/papers/IJEDR1903111.pdf