Optimised design of commercial building interior spaces and landscapes using enhanced ResNet and virtual reality technology

To address the limitations of traditional commercial building design, this study proposes an optimisation method integrating an improved ResNet model with VR technology.The enhanced ResNet50 model, incorporating a CBAM attention mechanism and multi-scale feature fusion, quantifies key metrics like spatial comfort and traffic efficiency, achieving 94.7% feature recognition accuracy.A VR platform then generates interactive scenes based on model outputs to collect real-time user feedback.Experiments on three commercial buildings showed that after optimisation, space utilisation increased by 15.2%, landscape satisfaction rose by 21.6%, and traffic efficiency improved by 18.9%.This data-driven, user-centred approach offers significant practical and academic value for commercial design.