CPC G06V 20/62 (2022.01) [G06F 18/214 (2023.01); G06F 18/2411 (2023.01); G06F 40/284 (2020.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method, comprising:
receiving an input of at least one image associated with an issue;
extracting text from the at least one image;
determining an intent from the extracted text;
recommending a response to the issue based at least in part on the determined intent;
transmitting the recommended response to a user;
wherein the extracting, determining and recommending are performed at least in part using one or more machine learning models;
wherein the one or more machine learning models are trained with training data comprising at least a plurality of intents;
wherein recommending the response to the issue comprises:
building a first matrix comprising a plurality of words corresponding to the plurality of intents and a first plurality of term frequency scores for the plurality of words corresponding to the plurality of intents;
building a second matrix comprising a plurality of words corresponding to the determined intent and a second plurality of term frequency scores for the plurality of words corresponding to the determined intent;
comparing the first matrix with the second matrix to determine a matching intent from the plurality of intents to the determined intent; and
recommending an issue resolution corresponding to the matching intent; and
wherein the steps of the method are executed by at least one processing device operatively coupled to a memory.
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