Systems and methods for using a machine learning architecture for image generation across data structures

A system comprising:

• one or more processors coupled with memory, the one or more processors configured to:
• store a plurality of images and labels corresponding to the plurality of images in a database, each label indicating content of an image corresponding to the label;
• identify attributes associated with a first user of a first user device and a second user of a second user device;
• generate a first sequence of sets of images from the plurality of images and labels corresponding to each image in the first sequence of sets of images for presentation on a first user interface of the first user device, the first sequence of sets of images determined based on the attributes associated with the first user;
• receive a selection of an image from the first sequence of sets of images, from the first user device;
• determine a second sequence of sets of images based on the selection of the image from the first sequence of sets of images at the first user device and the attributes of the second user;
• and
• generate the second sequence of sets of images and labels corresponding to the second sequence of sets of images for presentation on a second user interface on the second user device.

A non-transitory computer readable medium including computer readable instructions, that when executed by one to more processors, cause the one or more processors to:

• store a plurality of images and labels corresponding to the plurality of images in a database, each label indicating content of an image corresponding to the label;
• identify attributes associated with a first user of a first user device and a second user of a second user device;
• generate a first sequence of sets of images from the plurality of images and labels corresponding to each image in the first sequence of sets of images for presentation on a first user interface of the first user device, the first sequence of sets of images determined based on the attributes associated with the first user;
• receive a selection of an image from the first sequence of sets of images, from the first user device;
• determine a second sequence of sets of images based on the selection of the image from the first sequence of sets of images at the first user device and the attributes of the second user;
• and
• generate the second sequence of sets of images and labels corresponding to the second sequence of sets of images for presentation on a second user interface on the second user device.