Abstract: The present invention is a system and method for 3D engineering drawing extrapolation and automation incorporating Machine Learning (ML). The instant innovation receives a 3D computer model of a part to be manufactured, and automatically breaks the model into labelled surfaces capable of being attributed, assigned and represented by 2D drawings. One or more sub-processes receives data defining attributes of the 2D drawings and performs calculations to pre-determine drill-hole locations on a machine-ready part. The system then determines if there are unintended gaps, interferences, or other irregularities resident thereupon. The system creates a list of any irregularities and returns a punch list to a human user for correction. The system utilizes Amazon Web Services (AWS) to both perform data extracting and flattening of the 3D model and to select optimally-sized machine stock and optimize its orientation in relation to the manufacturing machine head.