Home Design Recommendation System Using Machine Learning and AI

@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},
      doi = {https://doi.org/10.64388/IREV9I5-1712202}
  }