Aesthetix - AI Powered Interior Design Application

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Authors: Ms. Uma R
Cited by: 0

Abstract

Interior design is instrumental to producing an area that is functional, beautiful, and psychologically comfortable, both for residential and professional purposes. The conventional process of interior design relies heavily on expert knowledge, repeated interactions between clients and designers, and manual visualization techniques, which are usually accompanied by inefficiencies and limited accessibility for non-professional users. Moreover, users often face significant problems during the early stage of planning in expressing their design ideas and visualizing concepts. Recent progress in AI, especially within LLMs and computer vision, has empowered systems to reason effectively over and integrate textual and visual information. This opens up new possibilities in automating challenging design reasoning tasks and supplying intelligent personal recommendations. This paper introduces Aesthetix, a multimodal web application utilizing AI assistance for improving and automating interior design planning. The designed solution enables users to upload images of a room and describe their design requirements using natural language input capabilities. Through the utilization of interior design features using multimodal interaction and cloudbased data synchronization, Aesthetix facilitates a complete solution for interior design, which encompasses room designs, color combinations, furniture selection, and purchase assistance. Experimental testing of the solution verifies that Aesthetix possesses faster response rates, improved usability, and support for higher levels of personalization in contrast to digital interior design software.

Fields of Study & Subjects

Architecture Design and Social History Digital Media and Visual Art Recommender Systems and Techniques

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
2
Pages
279–285
Publication date
10 February 2026
Language
EN