Application of data-driven artificial intelligence algorithms in interior environment design

With the rapid development of artificial intelligence technology, data-driven intelligent algorithms show great potential in interior environment design. Through research on the integration of deep learning, computer vision and other AI technologies with interior design, a multi-source data-driven intelligent design model is constructed. Experimental results show that data-driven AI algorithms improve accuracy by 92.3%, 89.7% and 86.5% respectively in spatial layout optimization, lighting system control and material selection, enhancing design efficiency and solution quality compared to traditional methods. This study provides new technical approaches and practical references for the intelligent transformation of interior environment design.