A.I. Karpukhin1, E.A. Vaysberg2, N.A. Danilkina3

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
2 Open Mobile Platform LLC (Moscow, Russia)
3 JSC «Rosselkhozbank» (Moscow, Russia)
1 aikarpukhin@fa.ru, 2 11lizik.lizik@gmail.com, 3 n-danilkina@list.ru

The proposed architecture of the web service, based on a microservice approach, is designed to solve the problem of online processing of digital content (images, videos, and connected data) using deep learning algorithms and computer vision

Goal – to increase the efficiency of processing various types of content in an online service, including recognition, classification and interpretation of user images with further formation of recommendations for the user and his work with content.

The paper describes the architecture of a web service implemented in practice using neural networks and computer vision algorithms, including a deep machine learning model trained by the authors.

The paper shows that the proposed approach is largely universal in terms of creating various configurations of microservices and web applications to solve a wide range of tasks, including online content processing in expert systems, interpretation of analysis results, as well as generation and generalization of derived data and the formation of expert recommendations in the preparation of expert opinions.

Karpukhin A.I., Vaysberg E.A., Danilkina N.A. Microservice architecture of a web service using neural networks and computer vision algorithms for online content processing. Neurocomputers. 2025. V. 27. № 6. P. 17−23. DOI: 10.18127/j19997493-202506-02 (in Russian).

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