Methods and systems for biologically determined artificial intelligence selection guidance

1. A system for biologically determined artificial intelligence selection guidance, the system comprising a computing device designed and configured to:

receive at least a biological extraction and an item descriptor from a user;

generate, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets as a function of the at least a biological extraction;

identify, using the user classifier and the user data, a user set identifier matching the user;

produce a selection guidance using the user set identifier and the item descriptor;

determine whether the item descriptor is suitable for the user;

calculate a different item of the selection guidance as a function of determining whether the item descriptor is suitable for the user; and

provide the selection guidance to the user.

2. The system of claim 1 , wherein:

the selection guidance comprises a suitability score; and

determining whether the item descriptor is not suitable for the user comprises comparing the suitability score of the item descriptor to a threshold.

3. The system of claim 1 , wherein:

the suitability score comprises a user set suitability score; and

producing the selection guidance comprises calculating the user set suitability score as a function of the user set identifier and the item descriptor.

4. The system of claim 3 , wherein calculating the user set suitability score comprises:

receiving user set suitability training data comprising a plurality of user set identifiers correlated to the user set suitability score;

training a suitability model using the user set suitability training data; and

determining the user set suitability score as a function of the trained suitability model.

5. The system of claim 1 , wherein:

the suitability score comprises a user specific suitability score; and

producing the selection guidance comprises calculating the user specific suitability score as a function of a biological extraction, user data, and the item descriptor.

6. The system of claim 5 , wherein calculating the user specific suitability score comprises:

receiving user specific suitability training data comprising a plurality of biological extractions, past user data, and a plurality of item descriptors correlated to the user specific suitability score;

training a suitability model using the user specific suitability training data; and

determining the user specific suitability score as a function of the trained suitability model.

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

receive an exclusion list from a user; and

remove the item descriptor from the selection guidance as a function of a presence of item descriptor on the exclusion list.

8. The system of claim 1 , wherein the computing device is further configured to decrypt the biological extraction.

9. The system of claim 8 , wherein decrypting the biological extraction comprises decrypting the biological extraction using a secure proof.

10. The system of claim 2 , wherein the computing device is further configured to place a recurring order for the different item as a function of the suitability score.

11. A method for biologically determined artificial intelligence selection guidance, the method comprising:

receiving, by a computing device, at least a biological extraction and an item descriptor from a user;

generating, by the computing device, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets as a function of the at least a biological extraction;

identifying, by the computing device, using the user classifier and the user data, a user set identifier matching the user;

producing, by the computing device, a selection guidance using the user set identifier and the item descriptor;

determining, by the computing device, whether the item descriptor is not suitable for the user;

calculating, by the computing device, a different item of the selection guidance as a function of determining whether the item descriptor is not suitable for the user; and

providing, by the computing device, the selection guidance to the user.

12. The method of claim 11 , wherein:

the selection guidance comprises a suitability score; and

determining whether the item descriptor is not suitable for the user comprises comparing the suitability score of the item descriptor to a threshold.

13. The method of claim 11 , wherein:

the suitability score comprises a user set suitability score; and

producing the selection guidance comprises calculating the user set suitability score as a function of the user set identifier and the item descriptor.

14. The method of claim 13 , wherein calculating the user set suitability score comprises:

receiving user set suitability training data comprising a plurality of user set identifiers correlated to the user set suitability score;

training a suitability model using the user set suitability training data; and

determining the user set suitability score as a function of the trained suitability model.

15. The method of claim 11 , wherein:

the suitability score comprises a user specific suitability score; and

producing the selection guidance comprises calculating the user specific suitability score as a function of a biological extraction, user data, and the item descriptor.

16. The method of claim 15 , wherein calculating the user specific suitability score comprises:

receiving user specific suitability training data comprising a plurality of biological extractions, past user data, and a plurality of item descriptors correlated to the user specific suitability score;

training a suitability model using the user specific suitability training data; and

determining the user specific suitability score as a function of the trained suitability model.

17. The method of claim 11 , further comprising:

receiving, by the computing device, an exclusion list from a user; and

removing, by the computing device, the item descriptor from the selection guidance as a function of a presence of item descriptor on the exclusion list.

18. The method of claim 11 , further comprising decrypting, by the computing device, the biological extraction.

19. The method of claim 18 , wherein decrypting the biological extraction comprises decrypting the biological extraction using a secure proof.

20. The method of claim 12 , further comprising placing, by the computing device, a recurring order for the different item as a function of the suitability score.