Authors - Sachin Ratnaparkhi, Parikshit Mahalle, Pankaj Chandre Abstract - Spatial judgment, incorrect furniture size, and poor personalized decor advice are common issues in most interior design planning. The aim of this paper is to introduce an AI-powered Augmented Reality Interior Design Assistant that makes it possible for users to visualize furniture and decor in real spaces using accurate real-world measurements. Spatial mapping using SLAM based AR core plane detection and depth sensing allows for more accurate estimations in room sizes, identifies objects in the scene, and makes AI-driven suggestions on furniture size and styles. .A hybrid AI engine is built using K-nearest neighbours, collaborative filtering and feature extraction methods. The AR rendering process takes care of depth by modifying 3D assets to expected sizes to make sure everything is placed correctly. The AR application is based on Unity 3D with AR Foundation and ARCore, the backend services are provided by python(flask) connected through RESTful APIs, for user profile and catalog management Firebase/PostgreSQL is used. Scikit is used for building machine learning models which is supported with Numpy and Panda for data handling. The assistant will also provide design tips through a conversational AI feature that makes it accessible to everyone. Tests show a significant reduction in spatial errors, much faster design decisions, and better relevance of recommendations. These results indicate that real-scale visualization with AI suggestions tremendously increases design confidence and at the same time reduces the need for redesigns. This system connects AR visualization with AI interior support for a smooth and smart design experience.
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