2D Orthographic Drawings to 3D Conversion using Machine Learning

3D AutoCAD drawing is very common in the manufacturing industry. Most of the companies are using 3D models to produce parts and products as it gives us substantial accuracy and precision. However, the process of producing 3D models drawing is tedious, time-consuming, and requires a lot of human effort. Indeed, there is a need to have an automated process to construct the 3D models using the image of the 2D view. Not only it reduces human effort, save time and cost, it is also increasing the accuracy and reduces error due to machine learning generally having higher consistency and precision than a human being. Therefore, this project aims to develop software that can convert 2D orthographic drawings into 3D CAD models using machine learning to reduce human intervention during the conversion process.