Integrating Augmented Reality and Machine Learning for Enhanced Interior and Exterior Design Visualization and Recommendation

Abstract

This paper introduces a new method that combines Augmented Reality (AR) and Machine Learning (ML) to improve interior design. By using AR to display virtual design elements in real environments and ML to offer personalized suggestions based on user preferences and data analysis, this approach enhances decision-making and design visualization. The integration of AR and ML benefits users by providing real-time design previews and continually refining recommendations based on user interactions. The proposed system will be tested with users to evaluate usability, recommendation accuracy, and satisfaction, highlighting the potential of AR and ML in advancing interior design processes. To achieve the high-quality interactions expected by users, there has been increasing integration of AR with Machine Learning (ML) algorithms. This integration offers additional functionality to grow the goal of Augmented Reality applications. In this paper we present the potential of integrating Augmented Realitywith Machine Learning algorithms for expanding assistive technologies, for the use case of locating objects in the home context.