Project Overview
PREDICT is a scientific tool I designed and developed as a Graduate Research Assistant for Clemson's MCDC (Materials Computation and Data Science) research group led by Prof. Dilpuneet S. Aidhy. The purpose of this application is to provide an interface to utilize MCDC's machine learning models which are able to predict certain properties of alloys and access to the training data. I oversaw the project from the design phase to development and hand-off to the next graduate student who will be taking over the project.
The UI and functionality was inspired by The Materials Project. The frontend was developed using React with TypeScript, the backend was developed using Go and the Echo framework, and the DBMSs used are PostgreSQL and MongoDB. The reason for having two databases is due to the structure of the training data.