The goal of the thesis was to prototype a recommendation system which would advise the user when purchasing immovable property based on vicinity of points of interest. The data used for determining POI's was provided by Monolit d.o.o. while the data for immovable property were obtained from the website nepremicnine.net. The data is then stored in an PostGIS extended PostGreSQL database, which is used for geographical work. The data is then presented using web services with REST technology in a client-server architecture. For the purpose of client we developed a simple web client based on HTML5, JQuery and CSS3 standards. The user can then filter real estate, set the desired type of points of interest, even set weighted parameters determining the final score for each real estate. The system then presents the best scoring real estates on a map together with the points of interest
