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Assisting tourists by guiding them on their trip is neither a new, nor a trivial topic. People have different considerations when choosing which objects to visit while on tour. There is plenty of factors that could influence their choice and the more of those dynamic characteristics and related circumstances the algorithms support, the more valuable they are.

One of the areas of application of digital mobile assistants is intelligent transport and tourist guides. Such personalised systems aim to facilitate the increasingly difficult choice of the most appropriate transport option regarding personal preferences and habits, current location and available options in real time. To implement a smart travel guide, it is necessary to develop personalised models that include not only static information about routes and destinations, but also to take into account the personal preferences of the user and dynamically respond to unplanned real world circumstances. In the field of intelligent systems, such variable physical characteristics in time and space (so-called ambient characteristics) have a significant role in the degree of usefulness for the end user. The personal assistant is an integral part of the user experience that helps tourists immerse themselves in the rich history and cultural heritage of Bulgaria. Modern technologies in the field of artificial intelligence allow the tourist to get acquainted with the traditions and folk customs, receiving detailed information about the surrounding objects such as folk costumes, architectural monuments and others. Keywords: Personal Assistants; Ontologies; Ambient-oriented Modeling; Tourist Guide; Tourist Routes Generation; Image Classification; Machine Learning; Traditional Bulgarian Costumes

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