The information technologies help solve the most difficult problems, qualitatively change the provided educational services and create conditions for comfortable living and development for each inhabitant in particular, and the city’s community as a whole. In the context of the implementation of these projects, the procedures for the selection and acquisition of a profession are important, taking into account the personal characteristics of applicants and the needs of the city’s community. The decision-making process for choosing a future specialty starts even while studying at school, and is actualized during the selection of external independent evaluation subjects. Another important step in this chain is the choice of an educational institution for further education and specialization. The paper proposes an information technology of personalized choice of profession in accordance with the needs of a person and the requirements of the labor market in a smart city, which is presented in the form of five consecutive functional stages: determination of professional inclinations and abilities; monitoring of the urban labor market; a choice of the future profession; a choice of educational institution; formation of an individual learning trajectory. The models and methods of information technology support of personalized choice of a profession are described, in particular: model of data analysis for determination of professional inclinations and abilities of a person on the basis of the results of vocational guidance tests have been developed, which made it possible to optimize the process of determining the professional peculiarities of a person; the methods of monitoring the labor market of the city; using the methodology of constructing data hypercube, the method of analysis of educational activity in educational institutions in the city acquires the further development. The main characteristics of the developed one-page information technology web application are presented which combines all stages of training specialists in a holistic system taking into account the needs of a person and the requirements of the labor market in a large city.

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Національний університет "Львівська політехніка", кафедра інформаційних систем та мереж 3 Тернопільський національний технічний університет імені Івана Пулюя, кафедра комп'ютерних наук 4 Рівненський державний гуманітарний університет, кафедра інформатики та прикладної математики

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The study focuses on current trends in the use of smartphones and other smart devices to provide information support to users in a COVID pandemic. The perspective adaptations of mobile crowd sensing (MCS) information technologies to ensure the social distance of pedestrians while walking through the city are described. Specifics of navigation and data collection from users' smartphone’s sensors in the case of open space and in large buildings (stations, hospitals, government agencies and other social infrastructure) navigation are considered. A project approach to the creation of a mobile recommender application for a safe walking route in real time with the support of social distancing based on hybrid tourist recommender systems, mobile crowd sensing and big data analysis is proposed. The main problems and challenges presented with the implementation of such a project are outlined. Safe navigation of users in large rooms is also an increase in the urgent task. After all, even the best strict guarantees of the ban do not make it possible to determine the assessment of health care facilities, construction of social, educational, trade, transport infrastructure, etc.  The main problems and stages of data extraction from the user 's device are considered, as well as the approaches to the organization of user navigation within the city are analyzed: both indoors and outdoors. The algorithm was proposed for building a safe route recommendation with mobile crowd sensing application with multi-criteria context evaluation for social distancing real-time navigation.