International Journal of Science, Engineering and TechnologyAuthors: Hemant Sharma, Ankit Rajak, Dr Jasbir Kaur, Assistant Professor Ifrah Kampoo, Assistant Professor Mansi Rajapurkar
Abstract: This research paper presents an AI-powered interior design system developed using Generative Artificial Intelligence techniques for automated room visualization, smart furniture arrangement, and personalized interior recommendations. Traditional interior designing methods often require significant time, professional expertise, and high financial investment, making them less accessible for common users. The proposed system aims to simplify and modernize the interior designing process by integrating advanced AI models capable of generating realistic and customized room designs based on user preferences, room dimensions, color combinations, and design themes. The system utilizes prompt-based image generation models such as diffusion models and deep learning techniques to generate visually appealing interior layouts in real time. Users can provide textual prompts describing their preferred room style, including themes such as modern, minimalist, luxury, vintage, or contemporary, and the AI system generates corresponding room visualizations automatically. Experimental analysis demonstrates that the AI-based system significantly reduces interior planning time while improving visualization quality and user satisfaction when compared with traditional manual design approaches.
