Optimization of Personalized Indoor Space Layout Driven by Artificial Intelligence

Abstract

This article explores the application of artificial intelligence in personalized indoor space layout optimization. With the rapid development of artificial intelligence technology, its potential in the field of interior design is increasingly prominent. This study aims to analyze how artificial intelligence can optimize personalized spatial layout through data-driven methods. The article first introduces the application background of artificial intelligence in interior design, and then discusses in detail key technologies such as data collection and processing, machine learning algorithm application, and personalized layout generation. Through case analysis and effectiveness evaluation, this article demonstrates the actual effects of artificial intelligence driven layout optimization, and discusses its advantages and limitations. The research results indicate that artificial intelligence technology can significantly improve the personalization and efficiency of indoor space layout, providing new directions for the future development of the interior design field.