Soppari, Kavitha and Chandrika, V. Revathi and Setty, Yogitha and Sakshith, O (2025) Survey on Decovision : Redefine your space with smart decor. World Journal of Advanced Research and Reviews, 26 (2). pp. 1931-1936. ISSN 2581-9615
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Abstract
This survey introduces Decovision, a smart and modular interior design platform that uses AI, machine learning, and web technologies to offer a personalized home decor experience. It integrates real-time room visualization via Stability AI's image generation API, a style recommendation engine based on a user quiz, and a furniture chatbot that filters IKEA products using natural language queries. Built with Flask and SQLite, the platform emphasizes accessibility and cost-efficiency through open-source tools. Decovision’s scalable architecture supports a human-centered design approach, helping users transform preferences into actionable design outputs regardless of expertise. This survey highlights the system’s potential to simplify and democratize interior styling through intuitive AI-driven interactions.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1645 |
Uncontrolled Keywords: | AI In Interior Design; Stability AI; Style Recommendation Engine; Flask; Sqlite; NLP; User-Centered Design; Furniture Chatbot; Home Décor; Image Generation |
Depositing User: | Editor WJARR |
Date Deposited: | 20 Aug 2025 10:50 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3026 |