1 Head & Professor CSE-AI&ML Department, ACE Engineering College, Hyderabad, India.
2 Students of Department CSE (AI&ML) of ACE Engineering College, ACE Engineering College, Hyderabad, India.
World Journal of Advanced Research and Reviews, 2025, 26(02), 1931-1936
Article DOI: 10.30574/wjarr.2025.26.2.1645
Received on 29March 2025; revised on 11 May 2025; accepted on 13 May 2025
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.
AI In Interior Design; Stability AI; Style Recommendation Engine; Flask; Sqlite; NLP; User-Centered Design; Furniture Chatbot; Home Décor; Image Generation
Preview Article PDF
Kavitha Soppari, V. Revathi Chandrika, Yogitha Setty and O.Sakshith. Survey on Decovision : Redefine your space with smart decor. World Journal of Advanced Research and Reviews, 2025, 26(2), 1931-1936. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1645