Home Design Recommendation System Using Machine Learning and AI

• Author(s): Sachin Maurya; Rohit Kumar; Kuldeep; Dr. Ishrat Ali; Prof. (Dr.) Sanjay Pachauri
• Paper ID: 1712202
• Page: 1650-1651
• Published Date: 24-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

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.

Keywords

Deep Learning, Interior Design, Recommendation System, Artificial Intelligence, and 3D Visualization.

Citations

IRE Journals:
Sachin Maurya, Rohit Kumar, Kuldeep, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Home Design Recommendation System Using Machine Learning and AI" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1650-1651 https://doi.org/10.64388/IREV9I5-1712202

IEEE:
Sachin Maurya, Rohit Kumar, Kuldeep, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Home Design Recommendation System Using Machine Learning and AI" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712202