TECHNOLOGIES FOR USING MACHINE LEARNING TO DETERMINE PRODUCT CERTIFICATION ELIGIBILITY
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United States of America Patent
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May 13, 2021
app pub date -
Oct 30, 2020
filing date -
Nov 8, 2019
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Abstract
Systems and methods for using machine learning to assess eligibility for product certification are disclosed. According to certain aspects, a server computer may train a set of machine learning models using a set of training data, where the set of machine learning models may be specific to products and certifications for the products. The server computer may access product specifications associated with a set of products sought to be certified, and may analyze the product specifications using the an appropriate machine learning model(s), the output of which may indicate whether the set of products is eligible for certification, the set of products is ineligible for certification, or the product specifications need further review.
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