Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.

Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.

Abstract: Systems and methods for generating response records for individual users based on user responses to prompts. Exemplary implementations may: provide prompts to individual users, receive user input from individual ones of the users indicating responses to the one or more provided prompts; determine, based on the received user input from individual ones of the users, response information for individual ones of the responses to the prompts; aggregate the individual responses and corresponding response information to generate response records for individual ones of the users; store the response records for individual ones in the users; and/or other exemplary implementations.

Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.