мобільні застосунки

A smartphone is not only a means of communication, but also a gadget that helps a modern person better understand the effectiveness and optimize some of his own needs. Today, it plays the role of not only a full connection, but also provides constant access to various sources of information, searches for informational opportunities and promotes the popularization of his own content and himself. That is why these gadgets have also rapidly taken an important place in the work of journalists.

The paper highlights the increasing importance of machine learning (ML) in mobile applications, with mobile devices becoming ubiquitous due to their accessibility and functionality. Various ML models, including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), are explored for their applications in real-time classification on mobile devices. The paper identifies key challenges in deploying these models, such as limited computational resources, battery consumption, and the need for real-time performance.