Abstract
In this paper the technologies for creating web applications are analyzed, in result Progressive Web App as the most suitable for solving the tasks is selected. The peculiarities of the use of intelligent technologies for the problem of image recognition are investigated. Emphasis is placed on methods that use the TensorFlow neural network library. The own model of convolutional neural network for image recognition has been created. The dataset «The Quick, Draw! Dataset» from Google is selected for model training. It has been determined that a progressive web application provides the ability to provide the resulting sample to the user faster than analogues. The result of comparing the speed of the developed and analog applications is illustrated.
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