Developing a recommendation system for the students applying for Sudanese higher education institutions Using graph databases and Myers Briggs type indicator personality test

Recommendations systems represents a tool or a technology that tries to predict the items that might be of an interest to the user, and they could be considered the programming tools or technologies used for serving recommendations which represent the most suitable items served to the user to choose from, which could be a product, a service, or the topic in which this paper tries to implement within this paper a model has been designed and built that ties to help students for university to choose the most suitable majors based on MBTI personality test that is used to understand their patterns, basic personality traits and the most suitable career tracks based on this information, then a Collaborative filtering algorithm has been implemented to help build and serve the recommendation model. the result was a system that enabled students to get relevant recommendations that tries to give students the most relevant career choices available based on the developed model.