AI-Aided Design Studio: Enhancing Graphic Design and User Interface with Machine Learning

Atuweni Yamiko Maonga*, Mtende Mkandawire**
*-** DMI St. John the Baptist University, Lilongwe, Malawi.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jaim.2.2.20736

Abstract

The challenge in a design studio lies in helping graphic designers create dynamic and personalized designs efficiently. To address this, the AI-Aided Design Studio is a web-based application that leverages machine learning algorithms to assist graphic designers in producing more vibrant and customized designs. By integrating artificial intelligence and machine learning techniques, this application seeks to empower designers with tools that can generate design suggestions, such as design elements, color schemes, and layout improvements, automate repetitive tasks, and provide personalized design recommendations based on user preferences and historical data. The development will also involve creating an interactive software application that allows users to collaboratively design and customize graphics and user interface elements with AI-driven enhancements. Through this innovative approach, the application not only offers practical utility in design but also showcases the potential of artificial intelligence to transform traditional creative processes into more efficient and personalized experiences. The AI-Aided Design Studio will also incorporate a sophisticated image-to-text generator that utilizes state-of-the-art machine learning algorithms. This generator enables designers to analyze and interpret visual elements, automatically extracting relevant textual data from images. This process not only expedites the initial phase of design research but also facilitates a seamless transition between the visual and textual aspects of the creative process.

Keywords

Artificial Intelligence, Machine Learning, UI/UX Interface, Web Application, Interactive Software, User Interface.

How to Cite this Article?

Maonga, A. Y., and Mkandawire, M. (2024). AI-Aided Design Studio: Enhancing Graphic Design and User Interface with Machine Learning. i-manager’s Journal on Artificial Intelligence & Machine Learning, 2(2), 10-16. https://doi.org/10.26634/jaim.2.2.20736

References

[2]. Khang, A., Abdullayev, V., Jadhav, B., Gupta, S., & Morris, G. (Eds.). (2023b). AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications. CRC Press.
[3]. Khang, A., Rani, S., Gujrati, R., Uygun, H., & Gupta, S. (Eds.). (2023a). Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches. CRC Press.
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