Computer-based systems configured for automated image generation and methods of use thereof

A computer-implemented method, comprising:

• receiving, by at least one processor via an application programming interface (API) query engine, at least one domain name and context information associated with an entity;
• generating, by the at least one processor, at least one attribute by parsing the at least one domain name;
• generating, by the at least one processor, an inferred profile based on the at least one attribute and the context information;
• generating, by the at least one processor utilizing a keyword machine learning model, a plurality of keywords based on the inferred profile;
• acquiring, by the at least one processor, based on the plurality of keywords, a first plurality of images from a first data source when the first data source is accessible or from a second data source when the first data source is not accessible, the second data source being different form the first data source, and the second data source storing at least one image from the at least one processor;
• indexing, by the at least one processor, the first plurality of images based on image embeddings and text embeddings thereof to generate a second plurality of images;
• filtering, by the at least one processor via a blacklist filter with a predetermined blacklist, the second plurality of images to generate a third plurality of images;
• selecting, by the at least one processor, a predetermined number of images from the third plurality of images to form a fourth plurality of images, the predetermined number of images ranked higher than rest of the images in the third plurality of images;
• transmitting, by the at least one processor via APIs, the fourth plurality of images to a computing device associated with the entity;
• receiving, by the at least one processor via the APIs, a selection identifying one image of the fourth plurality of images;
• and
• automatically embedding, by the at least one processor, the identified one image of the fourth plurality of images in at least one website.

A system, comprising:

• at least one processor;
• and
• at least one memory storing a plurality of computing instructions configured to instruct the at least one processor to:
• receive, via an application programming interface (API) query engine, at least one domain name and context information associated with an entity;
• generate at least one attribute from parsing the at least one domain name;
• generate an inferred profile based on the at least one attribute and the context information;
• generate, utilizing a keyword machine learning model, a plurality of keywords based on the inferred profile;
• acquire, via APIs, a first plurality of images from a data source based on the plurality of keywords, wherein the data source is a remote data source accessed by the at least one processor via the APIs;
• index the first plurality of images based on image embeddings and text embeddings thereof to generate a second plurality of images;
• filter, via a blacklist filter with a predetermined blacklist, the second plurality of images to generate a third plurality of images to be used in place of the first plurality of images in ranking;
• and
• automatically embed at least one image from the third plurality of images in at least one website, wherein the at least one image is selected based on a predetermined criterion.