Apparatus and method for creating non-fungible tokens (NFTs) for future user experiences

1. An apparatus for creating non-fungible tokens (NFTs) for user experiences, the apparatus comprising:

at least a processor; and

a memory communicatively coupled to the at least a processor, the memory comprising instructions configuring the at least a processor to:

receive user data associated with a user;

identify at least one future user experience for the user based on the user data, wherein identifying the at least one future user experience further comprises:

generating a user experience machine learning model;

training the user experience machine learning model as a function of user experience training data, wherein the user experience training data comprises a plurality of user data that are each correlated to one of a plurality of user experience data, and wherein the user experience training data further comprises previous outputs that the user experience machine learning model iteratively produced;

outputting the at least one future user experience using the trained user experience machine learning model;

generate a recommendation for a non-fungible token (NFT) for the at least one future user experience;

and

output the recommendation for the NFT to the user.

2. The apparatus of claim 1 , wherein the user data comprises at least one past user experience associated with the user.

3. The apparatus of claim 2 , wherein the memory further comprises instructions configuring the at least a processor to identify the at least one future user experience based on the user data and the at least one past user experience.

4. The apparatus of claim 1 , wherein the identifying at least one future user experience for the user comprises:

generating a user experience score for each past user experience of the at least one past user experience;

generating a community experience score for the past user experience;

comparing the user experience score and the community experience score for each past user experience; and

identifying the at least one future user experience as a function of the comparison of the user experience score and the community experience score.

5. The apparatus of claim 1 , wherein identifying at least one future user experience comprises identifying a category of at least one significant future user experience using fuzzy logic.

6. The apparatus of claim 4 , wherein the identifying at least one future user experience for the user further comprises:

identifying a user cohort from a plurality of community users for the user; and

generating, by the at least a processor, a cohort experience score for each past user experience.

7. The apparatus of claim 6 , wherein the identifying at least one future user experience for the user further comprises:

comparing the user experience score and the cohort experience score for each past user experience; and

identifying at least one future user experience as a function of the comparison of the user experience score and the cohort experience score.

8. The apparatus of claim 1 , wherein the memory further comprises instructions configuring the at least a processor to record the at least one future user experience to an immutable sequential listing.

9. The apparatus of claim 8 , wherein recording the at least one future user experience to an immutable sequential listing comprises creating an NFT from the at least one future user experience for storage on the immutable sequential listing.

10. A method for generating user-specific self-executing records, the method comprising:

receiving, by at least a processor, user data associated with a user;

identifying, by the at least a processor, at least one future user experience for the user based on the user data, wherein identifying the at least one future user experience further comprises:

generating, by the at least a processor, a user experience machine learning model;

training, by the at least a processor, the user experience machine learning model as a function of user experience training data, wherein the user experience training data comprises a plurality of user data that are each correlated to one of a plurality of user experience data, and wherein the user experience training data further comprises previous outputs that the user experience machine learning model iteratively produced; and

outputting, by the at least a processor, the at least one future user experience using the trained user experience machine learning model;

generating, by the at least a processor, a recommendation for a non-fungible token (NFT) for the at least one future user experience;

and

outputting, by the at least a processor, the recommendation for the NFT to the user.

11. The method of claim 10 , wherein the user data comprises at least one past user experience associated with the user.

12. The method of claim 11 , further comprising identifying, by the at least a processor, the at least one future user experience of interest based on the user data and the at least one past user experience.

13. The method of claim 10 , wherein the identifying at least one future user experience for the user comprises:

generating a user experience score for each past user experience of the at least one past user experience;

generating, by the at least a processor, a community experience score for the prospective user experience;

comparing, by the at least a processor, the user experience score and the community experience score for each prospective user experience; and

identifying, by the at least a processor, one of the plurality of prospective user experiences as the at least one prospective user experience of interest as a function of the comparison of the user experience score and the community experience score.

14. The method of claim 13 , wherein identifying at least one future user experience comprises identifying, by the at least a processor, at least one prospective user experience of interest using fuzzy logic.

15. The method of claim 13 , wherein the identifying at least one future user experience for the user further comprises:

identifying, by the at least a processor, a user cohort for the user from a plurality of users; and

generating, by the at least a processor, a cohort experience score for each prospective user experience.

16. The method of claim 13 , wherein the identifying at least one future user experience for the user further comprises:

comparing, by the at least a processor, the user experience score and the cohort experience score for each prospective user experience; and

identifying, by the at least a processor, one of the plurality of prospective user experiences as the at least one prospective user experience of interest as a function of the comparison of the user experience score and the cohort experience score.

17. The method of claim 10 , further comprising recording, by the at least a processor, the at least one future user experience to an immutable sequential listing.

18. The method of claim 17 , wherein recording the at least one future user experience to an immutable sequential listing comprises creating, by the at least a processor, an NFT from the at least one future user experience for storage on the immutable sequential listing.