Automated matchmaking of student skills and academic course requisites

All universities and educational institutions have norms for admission of students to different courses/programs. Large numbers of students apply for admission and university authorities have to manually verify whether a student fulfills all eligibility criteria or not. We propose an automated matchmaking system to filter out students satisfying all eligibility norms for a certain course/program. Further, the same could recommend the possible courses/programs to which a student can apply, satisfying all the norms of these recommended courses. We explicitly define and propose an approach to model 'composite constraints' that are typical for the educational domain. Our earlier proposed model is extended to represent composite constraints. Finally, a sample live data of different universities in South Africa is used to illustrate the effectiveness of the proposed system.