Computer-readable methods, systems, and storage media using machine learning to determine product certification eligibility.

Abstract

The invention relates to a method, system, and computer-readable storage medium using machine learning to determine product certification eligibility. According to the invention, a server can train a set of machine learning models using a training dataset, wherein this set of machine learning models can be deterministic of products and product certifications. The server can access product specifications related to the set of products requiring certification, and can analyze the product specifications using appropriate machine learning models whose output can indicate whether the set of products is eligible for certification, whether the set of products is not eligible for certification, or whether the product specifications need further review.