3D Printer Material Prediction using Watson Auto AI
Project Complexity - Intermediate
Technology: Machine Learning | Business Sector: Retail
Project Description
3D printing materials, usually called by their traditional names such as ABS, nylon and more are available in the majority, but you have to be aware that many of the 3D printing materials only mimic true thermoplastics. Choosing the right material allows you to improve the shape, quality and function of your 3d printed part. Hence, selection of the correct 3D printing material is highly essential. To identify the type of material required after a 3D model is designed is a complicated task.The aim of the study is to determine the best material which will be perfect for the given use case. Where there are eleven setting parameters and one output parameters. Based on these input parameters we have to predict the best material for model. This model will predict whether to use ABS or PLA.Solution:
We are building a IBM Watson AutoAI Machine Learning to predict the material. The model is deployed on IBM cloud to get scoring end point which can be used as API in mobile app or web app building. We are developing a web application which is built using node red service. We make use of the scoring end point to give user input values to the deployed model. The model prediction is then showcased on User Interface. This model is to predict the best material to be used for building 3D models.
