METHODS AND SYSTEMS FOR CONNECTING FOOD INTERESTS WITH FOOD PROVIDERS

1 . A system for generating textual outputs based on descriptor classifications, the system comprising a computing device, the computing device designed and configured to:

receive an input from a first remote device of a plurality of remote devices, wherein the input comprises a specified location and a nourishment intake theme;

generate, as a function of a group machine-learning model, a user group theme for the first remote device, wherein the group machine-learning model receives the nourishment intake theme and the specified location as an input, and outputs the user group theme;

identify at least a food provider located within the specified location;

determine, as a function of a descriptor machine-learning model, a descriptor classification for the first remote device, wherein the advertisement machine-learning model receives the at least a food provider and the user group theme as input and outputs the descriptor classification; and

generate at least a user interface element at the first remote device as a function of the descriptor classification.

2 . The system of claim 1 , wherein the computing device is further configured to:

receive food interest data from the first remote device; and

generate an interest group theme as a function of an interest machine-learning model, wherein the interest machine-learning model receives the food interest data and the specified location as input and outputs the interest group theme.

3 . The system of claim 2 , wherein the computing device is further configured to:

determine a targeted theme using a targeted machine-learning model, wherein the targeted machine-learning model receives the at least a food provider and the interest group theme as inputs and outputs the targeted theme; and

generate the at least a user interface element at the first remote device as a function of the targeted theme.

4 . The system of claim 1 , wherein computing device is configured to receive an availability datum.

5 . The system of claim 4 , wherein the computing device is further configured to determine the at least an advertising material for the first remote device as a function of the advertisement theme and the availability datum.

6 . The system of claim 1 , wherein computing device is configured to receive a promotional datum.

7 . The system of claim 6 , wherein the computing device is further configured to generate the at least a user interface element at the first remote device as a function of the descriptor classification and the promotional datum.

8 . The system of claim 1 , wherein the computing device is further configured to identify the at least a food provider as a function of a bid ranking.

9 . The system of claim 1 , wherein the computing device is further configured to receive interface feedback.

10 . The system of claim 9 , wherein the computing device is further configured to transmit the at least a user interface element to other remote devices based on the interface feedback.

11 . A method of generating textual outputs based on descriptor classifications, the method comprising:

receiving, by a computing device, an input from a first remote device of a plurality of remote devices, wherein the input comprises a specified location and a nourishment intake theme;

generating, by the computing device, a user group theme for the first remote device as a function of a group machine-learning model, wherein the group machine-learning model receives the nourishment intake theme and the specified location as an input, and outputs the user group theme;

identifying, by the computing device, at least a food providers located within the specified location;

determining, by the computing device, a descriptor classification for the first remote device as a function of a descriptor machine-learning model, wherein the descriptor machine-learning model receives the at least a food provider and the user group theme as input and outputs the descriptor classification; and

generating, by the computing device, at least a user interface element at the first remote device as a function of the descriptor classification.

12 . The method of claim 11 , wherein the method further comprises:

receiving, by the computing device, food interest data from the first remote device; and

generating, by the computing device, an interest group theme as a function of an interest machine-learning model, wherein the interest machine-learning model receives the food interest data and the specified location as input and outputs the interest group theme.

13 . The method of claim 12 , wherein the method further comprises:

determining, by the computing device, a targeted theme using a targeted machine-learning model, wherein the targeted machine-learning model receives the at least a food provider and the interest group theme as inputs and outputs the targeted theme; and

generating, by the computing device, the at least textual output at the first remote device as a function of the targeted theme.

14 . The method of claim 11 , wherein the method further comprises receiving, by the computing device, an availability datum.

15 . The method of claim 14 , wherein the method further comprises determining, by the computing device, the at least an advertising material for the first remote device as a function of the advertisement theme and the availability datum.

16 . The method of claim 11 , wherein the method further comprises receiving, by the computing device, a promotional datum.

17 . The method of claim 16 , wherein the method further comprises generating, by the computing device, the at least a user interface element at the first remote device as a function of the descriptor classification and the promotional datum.

18 . The method of claim 11 , wherein the method further comprises identifying, by the computing device, the at least a food provider as a function of a bid ranking.

19 . The method of claim 11 , wherein the method further comprises receiving, by the computing device, interface feedback.

20 . The method of claim 19 , wherein the method further comprises transmitting, by the computing device, the at least a user interface element to other remote devices based on the interface feedback.