Pre-made profiles for auditory devices

1. A computer-implemented method comprising:

downloading, with a user device, a hearing application;

providing a user interface that includes an option for a user associated with the user device to take a hearing test;

responsive to receiving a rejection of the option to take the hearing test, updating the user interface to include a list of user preferences;

receiving one or more user preferences from the user;

updating the user interface to include a set of profiles based on the one or more user preferences;

receiving a selection of a profile from the set of profiles; and

instructing an auditory device to implement the selected profile.

2. The method of claim 1 , wherein the user preferences include an identification of demographic information for the user and the set of profiles includes a demographic-based profile.

3. The method of claim 1 , wherein the user preferences include an identification of a hearing condition and the set of profiles includes a hearing-condition based profile.

4. The method of claim 1 , wherein the set of profiles includes one or more popular profiles.

5. The method of claim 4 , further comprising:

providing an option to rate the selected profile;

scoring the selected profile based on a rating from the user; and

updating the one or more popular profiles based on the score associated with the selected profile.

6. The method of claim 1 , wherein the set of profiles includes an audiologist-designed profile.

7. The method of claim 1 , further comprising:

providing user preferences as input to a machine-learning model; and

outputting, with the machine-learning model, a machine-learning profile.

8. The method of claim 1 , further comprising:

updating the user interface to include a set of presets.

9. The method of claim 8 , further comprising:

receiving a selection of the option to create a new preset for a current location;

sampling a background noise for a period of time; and

outputting, with a machine-learning model, the new preset for an ambient noise condition that modifies adjustments in sound levels based on patterns associated with the ambient noise condition.

10. A user device comprising:

one or more processors; and

logic encoded in one or more non-transitory media for execution by the one or more processors and when executed are operable to:

receive a trained machine-learning model;

provide a user interface that includes an option for a user associated with the user device to take a hearing test;

responsive to receiving a rejection of the option to take the hearing test, update the user interface to include a list of user preferences;

receive one or more user preferences from the user;

provide the one or more user preferences as input to the trained machine-learning model;

output, with the trained machine-learning model, a machine-learning profile; and

instruct an auditory device to implement the machine-learning profile.

11. The user device of claim 10 , wherein the logic is further operable to:

update the user interface to include a set of profiles based on the one or more user preferences;

receive a selection of a profile from the set of profiles; and

instruct an auditory device to implement the selected profile.

12. The user device of claim 11 , wherein the user preferences include an identification of a hearing condition and the set of profiles includes a hearing-condition based profile.

13. The user device of claim 11 , wherein the user preferences include an identification of a hearing condition and the set of profiles includes a hearing-condition based profile.

14. The user device of claim 11 , wherein the set of profiles includes one or more popular profiles.

15. The user device of claim 14 , wherein the logic is further operable to:

provide an option to rate the selected profile;

score the selected profile based on a rating from the user; and

update the one or more popular profiles based on the score associated with the selected profile.

16. Software encoded in one or more computer-readable media for execution by one or more processors of a device and when executed is operable to:

download, with a user device, a hearing application;

provide a user interface that includes an option for a user associated with the user device to take a hearing test;

responsive to receiving a rejection of the option to take the hearing test, update the user interface to include a list of user preferences;

receive one or more user preferences from the user;

update the user interface to include a set of profiles based on the one or more user preferences;

receive a selection of a profile from the set of profiles; and

instruct an auditory device to implement the selected profile.

17. The software of claim 16 , wherein the user preferences include an identification of demographic information for the user and the set of profiles includes a demographic-based profile.

18. The software of claim 16 , wherein the user preferences include an identification of a hearing condition and the set of profiles includes a hearing-condition based profile.

19. The software of claim 16 , wherein the set of profiles includes one or more popular profiles.

20. The software of claim 19 , wherein the software is further operable to:

provide an option to rate the selected profile;

score the selected profile based on a rating from the user; and

update the one or more popular profiles based on the score associated with the selected profile.