  This paper discusses a simple recommender engine, which can match final year
project student based on their interests with potential supervisors. The
recommender engine is constructed based on Euclidean distance algorithm. The
initial input data for the recommender system is obtained by distributing
questionnaire to final year students and recording their response in CSV
format. The recommender engine is implemented using Java class and application,
and result of the initial tests has shown promises that the project is feasible
to be pursued as it has the potential of solving the problem of final year
students in finding their potential supervisors.
