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
• DOI: https://doi.org/10.64388/IREV9I5-1712202

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, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1712202

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

MLA:
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, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1712202

BibTeX

@article{1712202,
author = {Sachin Maurya, Rohit Kumar, Kuldeep, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri},
title = {Home Design Recommendation System Using Machine Learning and AI},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {1650-1651},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712202.pdf},
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.},
month = {November}
}