Image-based authorization systems

A first computing device comprising:

• one or more processors;
• memory storing computer instructions that, when executed by the one or more processors, configure the first computing device to:
• receive, from a second computing device, a first message for authorization of a user request associated with a user account;
• cause, on a graphical user interface on a user device associated with the user account, output of:
• a plurality of user selectable options, each associated with a respective category;
• and
• a prompt to take one or more photos that depict a physical environment where the user request is made;
• receive, from the user device:
• the one or more photos;
• and
• a selection, of one of the plurality of user selectable options, that indicates the user request belonging to a first category;
• provide, as input to a trained machine learning model, at least a portion of the one or more photos;
• receiving, as output from the trained machine learning model and in response to the input, an identification of one or more objects in the physical environment associated with the user request;
• and
• identifying, based on the one or more photos and the one or more objects, one or more times of a day when the one or more photos were taken;
• determine, based on the one or more objects and the one or more times of the day, that the user request belongs to the first category;
• and
• transmit, to a third computing device and based on a determination that authorizing a user request of the first category does not violate a category restriction, a second message indicating an authorization of the user request.

A non-transitory computer-readable medium storing computer instructions that, when executed, cause performance of actions comprising:

• receiving, by a first computing device from a second computing device, a first message for authorization of a user request associated with a user account;
• causing, on a graphical user interface on a user device associated with the user account, output of:
• a plurality of user selectable options, each associated with a respective category;
• and
• a prompt to take one or more photos that depict a physical environment where the user request is made;
• receiving, from the user device:
• the one or more photos;
• and
• a selection, of one of the plurality of user selectable options, that indicates the user request belonging to a first category;
• providing, as input to a trained machine learning model, at least a portion of the one or more photos;
• receiving, as output from the trained machine learning model and in response to the input, an identification of one or more objects in the physical environment associated with the user request;
• identifying, based on the one or more photos and the one or more objects, one or more times of a day when the one or more photos were taken;
• determining, based on the one or more objects and the one or more times of the day, that the user request belongs to the first category;
• and
• transmitting, to a third computing device and based on a determination that authorizing a user request of the first category does not violate a transaction category restriction, a second message indicating an authorization of the user request.