The AI Powered Image Classification and Object Detection for Interior Design project is a system built by our students that consist of a machine learning model which classifies images according to a predefined set of interior design themes. Additionally, the system can detect common objects such as furniture items found in the images. This project, completed for and funded by our industry partner, Sixides, was the first under SIT's newly formed Design Factory @ SIT and featured a cross-cluster collaboration between ICT and DSB clusters.