EDU Tour

Selecting a job is one of the most important decisions in a person’s life that affects his or her satisfaction levels in work- places and in general. Career counselling using conventional approaches is impersonal, noninteractive to a large extent, hence results in dissatisfaction and mismatch between the individual and career. To the best of our knowledge, no current application offers a straightforward, swiping-initiated interface with a machine learning component for guiding people through their careers. Slicing the preferences of the users, the platform involves an entertaining swipe feature while giving career recommendations by using Random Forest models to consider inputs. It is, therefore, can be saw as balanced solution between engaging gamification of user interaction with the flexible powerful data analysis. This paper discusses the strategy of the platform, its ability to mitigate the problem of career dysjunc- tion, and its significance for the field of career guidance. Also, we speak about the usage of such technologies as machine learning and the application of them to the reformation of the process of choosing the career into the entertaining and effective one. Thus, EDU Tour can be seen as a progression from the existing solutions to the career planning more natural occurrence, fun process, and matched with individual’s aim.