Home Design Recommendation System Using Machine Learning and AI

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.