An Intelligent Mobile Tourism Recommendation System Using Full Stack Architecture and Content Based Filtering

Abstract

The competitive nature of the tourism sector necessitates ongoing flexibility in response to shifting consumer demands.. With the onset of the corona, human interaction is constantly feared and the guides that promise safety do not give accurate information regarding the places we visit. The genuineness is always on the line and tourists tend to take a blind step forward. This paper suggests the creation of a pocket tourist guide, a full stack application that combines personalized recommendations and services with comprehensive and current information. The application also provides information regarding present covid and vaccinated statistics along with the rules and regulations enforced in the places being visited.