Patents by Inventor Antonea Nabors

Antonea Nabors has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12204596
    Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: January 21, 2025
    Assignee: Steady Platform LLC
    Inventors: Amanda Miguel, Winn Martin, Jeff Chelko, Marcel Crudele, Jasmine Hentschel, Antonea Nabors, Kabir Shukla, Tyler Howard
  • Publication number: 20220043872
    Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.
    Type: Application
    Filed: October 21, 2021
    Publication date: February 10, 2022
    Inventors: Amanda Miguel, Winn Martin, Jeff Chelko, Marcel Crudele, Jasmine Hentschel, Antonea Nabors, Kabir Shukla, Tyler Howard
  • Publication number: 20210240787
    Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 5, 2021
    Inventors: Amanda Miguel, Winn Martin, Jeff Chelko, Marcel Crudele, Jasmine Hentschel, Antonea Nabors, Kabir Shukla, Tyler Howard