Year: 2025
Type: article
Abstract: In this paper, we introduce InHome Vision, an AI-powered system for inauguration support and interior design recommendations that uses image analysis and machine learning to provide customized home styling options. In order to provide precise and user-centered design recommendations, the suggested model analyzes room photos to find structural elements, color patterns, and design themes. The system incorporates 3D visualization, intelligent recommendations, and service-provider connectivity to improve homeowners' decision-making. The research shows how deep learning and contemporary web technologies can enhance end-to-end interior execution workflows, user interaction, and home design planning.
Authors: Sachin Maurya, Rohit Kumar, Kuldeep, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri
Language: English
Subfield: Conservation
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4416598597
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