Method and system for generating a response structure using a chatbot user interface

A system for generating a response structure using a chatbot user interface, wherein the system comprises:

• a display device, wherein the display device displays a graphical user interface;
• at least a computing device, wherein the computing device comprises:
• a memory;
• and
• at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to:
• receive a first query using a chatbot interface operating on the display device;
• generate an action protocol as a function of the first query, wherein generating the action protocol comprises:
• generating a set of requested data constraints using a constraint machine-learning model, wherein generating the set of requested data constraints comprises:
• training the constraint machine-learning model, wherein training the constraint machine-learning model comprises:
• sanitizing training data to eliminate noise, wherein the training data comprises a plurality of query data correlated with a plurality of example constraint data;
• determining that at least one training data entry of the training data has a signal to noise ratio below a threshold value;
• and
• removing the at least one training data entry from the training data to create sanitized training data;
• and
• training the constraint machine-learning model using the sanitized training data until the constraint machine-learning model satisfies a convergence test, wherein sanitizing of the training data accelerates convergence of the constraint machine-learning model;
• and
• generating the set of requested data constraints using the trained constraint machine-learning model;
• and
• mapping the set of requested data constraints to a range of database entries;
• generate a response structure as a function of the action protocol, wherein generating the response comprises:
• retrieving requested data from a database using the range of database entries specified by the action protocol;
• inputting the requested data and the query associated with the action protocol into a second machine-learning model;
• and
• generating the response structure under control of the action protocol using the second machine-learning model;
• configure the display device to display the response structure using the chatbot interface;
• receive, through the chatbot interface, a second query from a user;
• identify one or more new parameters from the second query;
• adjust the set of requested data constraints of the action protocol as a function of the one or more new parameters;
• and
• reconfigure one or more visual elements of the response structure as a function of the adjusted set of requested data constraints.