VIDCRUITER INC.

Published purpose

This project aims to create a highly valuable and useful set of models that will serve as the engine behind many new features that allow VidCruiter to bring a truly innovative approach to introducing A.I. into its platform. We aim to create a stable foundation on which we continue to build the IMIS, including the collection, tagging, and processing of data that will be used to train multiple models, the development of systems to maintain/extend and utilize these models to provide baseline functionality for our new IMIS features and drive real tangible value for our customers beyond pre-screening candidates or poorly analyzing video interviews through processes that are fraught with bias and unethical practices.