The source data of construction projects are often only available in paper plans or outdated CAD models. The necessary structures are missing to use this data as a basis for BIM. In SDaC, we develop AI models to process this input data and recognize and label objects. In the beginning, we are specifically focused on the recognition of electronic symbols in construction plans. To do so we train Convolutional Neural Networks, which recognize and label these symbols.