DESIGN GENERATION BASED ON ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF METHODOLOGICAL APPROACHES

Authors

  • Zilola Rakhmatillaeva Tashkent University of Architecture and Civil Engineering

Keywords:

artificial intelligence, design generation, prompt chaining, zero-shot, one-shot, few-shot, architectural design, landscape project, ChatGPT, Midjourney, AI-powered interior design

Abstract

This article explores four methods of generating architectural and interior design using artificial intelligence — zero-shot, one-shot, few-shot, and prompt chaining — from both theoretical and experimental perspectives. Practical experiments were conducted based on real design tasks to compare output quality, user control, technical complexity, and generation speed. Particular focus is given to the prompt chaining approach, which was used to develop a step-by-step landscape design concept for the Shorkul reservoir area in Bukhara. The article outlines the advantages and limitations of each method and offers recommendations for effective integration of AI tools into the design process.

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Published

2025-07-25

How to Cite

Zilola Rakhmatillaeva. (2025). DESIGN GENERATION BASED ON ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF METHODOLOGICAL APPROACHES. Ethiopian International Multidisciplinary Research Conferences, 334–347. Retrieved from https://eijmr.org/conferences/index.php/eimrc/article/view/1179