PERSONALIZED INTERIOR DESIGN ASSISTANTS: VOICE-BASED AI AGENTS WITH VISUAL REASONING CAPABILITIES
DOI:
https://doi.org/10.29121/shodhkosh.v6.i4s.2025.6945Keywords:
Personalized Interior Design, Voice-Based AI, Visual Reasoning, Multimodal Deep Learning, Human-AI Interaction, Generative DesignAbstract [English]
Including voice-based totally AI bots with superior visual notion capabilities has changed personalized interior layout via making it less difficult for customers to make choices about how matters should look and making the ones choices greater enticing. mainly for people who are not acquainted with traditional design software program, present indoors design equipment are harder to use, less at ease, and less tailor-made as they in large part rely on visual enter. These studies will speak approximately a brand new form of AI-powered indoors layout assistance which could realise voice requests, execute difficult visible notion duties, and give you customised diagram thoughts. The proposed method transforms stated wants into smooth visual design outputs using a multimodal deep learning architecture including natural language processing (NLP) techniques, vision-language transformers (VLTs), and generative adversarial networks (GANs). The assistant may create models that make sense and represent each person's preferences by looking at images of rooms, grasping stated demands like modifying the style, colour scheme, or spatial rearrangements, and then... Research indicates that this approach outperforms conventional text- or image-only systems in terms of accurate recommendations (93.4%), user satisfaction (92.6%), and fast response (2.4 seconds per query). Especially for those who are blind or don't know much about technology, a user research with 150 participants reveals that voice-based communication greatly simplifies usage and more accessible. This study adds to the body of research on how people and computers interact by showing how multimodal AI can make interior design experiences that are welcoming, easy to use, and much personalised.
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Copyright (c) 2025 Satyam Vishwakarma, Dr. Sagar Vasantrao Joshi, Gouri Moharana, Dr. Smita N. Gambhire, Avinash Somatkar, Harinder Pal Singh
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