| CPC G06V 10/141 (2022.01) [G02B 27/30 (2013.01); G06N 3/08 (2013.01); G06Q 30/0283 (2013.01); G06T 7/0004 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); H04N 23/56 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01)] | 20 Claims |

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1. A system for evaluating a condition of an electronic device, the system comprising:
a kiosk that includes:
one or more cameras configured to capture at least one image of a first side of the electronic device; and
one or more processors in communication with the one or more cameras, the one or more processors configured to:
apply a first machine learning model to the at least one image of the electronic device,
wherein the first machine learning model is trained to output, based on analyzing the at least one image, a brand and/or model of the electronic device and a cosmetic rating of the electronic device specific to the brand and/or model;
determine the condition of the electronic device based on the cosmetic rating; and
determine, via a second machine learning model, an offer price for the electronic device based on the determined condition,
wherein the second machine learning model is different from the first machine learning model.
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