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This research paper investigates the role of natural language processing and prompt engineering in generating interior design renders using artificial intelligence (AI) platforms.The study analyses how the strategic use of keywords and descriptive prompts can influence the precision and accuracy of AI-generated interior design images.Various design styles, including Scandinavian, Art Deco, Hollywood Regency, and Rajasthani, are explored through a set of 22 defined parameters that encompass elements such as context, volume, color scheme, materials, ambiance, and ornamentation.The research evaluates the performance of different AI platforms, including Prome AI, Fotor AI, Gencraft AI, and Freepik AI, in interpreting prompts and generating corresponding interior design renders.The findings highlight the potential of AI in accelerating the design ideation process while underscoring the importance of effective prompt writing for achieving desired outcomes.The study also discusses the limitations of current AI algorithms and future research directions for enhancing the capabilities of these platforms in the domain of interior design.
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Vaish et al. (2024) studied this question.
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