The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 22, 2023

Filed:

Jan. 08, 2020
Applicant:

Uipco, Llc, San Antonio, TX (US);

Inventors:

Carlos JP Chavez, San Antonio, TX (US);

Ryan Thomas Russell, San Antonio, TX (US);

Ashley Raine Philbrick, San Antonio, TX (US);

Quian Antony Jones, San Antonio, TX (US);

Stacy Callaway Huggar, San Antonio, TX (US);

Janelle Denice Dziuk, Falls City, TX (US);

Yevgeniy Viatcheslavovich Khmelev, San Antonio, TX (US);

Ravi Durairaj, San Antonio, TX (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 40/03 (2023.01); G06Q 30/018 (2023.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06F 16/9536 (2019.01); G10L 25/63 (2013.01); G10L 25/30 (2013.01); G10L 15/22 (2006.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06Q 40/03 (2023.01); G06F 16/9536 (2019.01); G06F 18/21 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0185 (2013.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G10L 15/22 (2013.01); G10L 25/30 (2013.01); G10L 25/63 (2013.01);
Abstract

An artificially intelligent loan recommendation agent and a method of making loan recommendations are disclosed. The artificially intelligent loan recommendation agent can classify applicants into traditional and non-traditional categories. Based on this categorization, the agent may use different information to make loan recommendations for the applicant. For non-traditional applicants, applicant rating information can be used, including ratings of an applicant's professional skills obtained from consumer review sites. The agent can also conduct virtual interviews and analyze body language and speech to determine if an applicant may be lying.


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