The core value in the project is integrating the building energy design with artificial evolution and deep learning process, which is critical since conventionally, building energy design mainly concerns the practical issue, such as indoor thermal comfort, glare analysis. On the other hand, the machine learning process, which contains two main sections that are multi-objective optimization and supervised learning(deep learning), allows the design to be applied in different geographic location and orientation of the building.