Перегляд за автором "Borovynska, Y."

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  • Зображення мініатюри
    Публікація
    Assessing the efficacy of artificial intelligence in transforming wireframes into designs: current limitations and future prospect
    (ТОВ «Друкарня Мадрид», 2024) Vovk, O.; Borovynska, Y.
    Artificial intelligence has revolutionised the web design industry by offering a host of tools and features that streamline and improve the development process. From simplifying tasks to enhancing the capabilities of experienced professionals, AI -powered platforms help automate manual work, thereby speeding up the website development workflow and allowing designers to spend more time on creative activities.
  • Зображення мініатюри
    Публікація
    Computer gesture control
    (ХНУРЕ, 2022) Borovynska, Y.; Pinzari, M.; Chebotarova, I.
    This article deals with the interaction of the high-level programming language Python in combination with an Arduino to create a video gesture control. The program was created with the required hardware and software. This gesture control is capable of performing various functions in the video properties, namely: video rewinding, playback and pause, volume change.
  • Зображення мініатюри
    Публікація
    Exploring the influence of artificial intelligence on the complexity of landing page anatomy
    (2024) Borovynska, Y.; Vovk, O.
    Landing pages serve as digital gateways, crucial for engaging users and driv-ing conversions in the online realm. Understanding the intricate components that comprise these pages is essential for crafting effective online experienc-es. In this article, the anatomy of landing pages and the capabilities of artificial intelligence (AI) in constructing these pivotal digital assets will be explored, focusing particularly on the platform Framer AI.
  • Зображення мініатюри
    Публікація
    Investigating the vision of AI driven website builder in user interface components
    (2024) Borovynska, Y.; Vovk, O.
    This study investigates the transformative potential of AI-driven website builders in revolutionizing the creation and optimization of user interface (UI) components. Through a systematic exploration of AI-based prompts, the study scrutinizes the efficacy of these platforms in generating UI elements across varying levels of complexity. Seven distinct UI components, including dropdowns, checkboxes, and alerts, were subjected to rigorous scrutiny through prompts issued to an AI-driven website builder. The results shed light on the AI's ability to comprehend and execute user queries, revealing nuanced insights into its proficiency in generating relevant and accurate UI elements. While the AI demonstrated commendable performance in handling complex queries, challenges emerged in achieving precision with simpler components. The findings underscore the importance of continued refinement and enhancement of AI algorithms to ensure accuracy and relevance in UI component generation, thus contributing to the ongoing evolution of web development practices.