METHOD AND SYSTEM FOR PREDICTING ALIMENTARY ELEMENT ORDERING BASED ON BIOLOGICAL EXTRACTION

1 . An apparatus for predicting alimentary element ordering based on biological extraction, the apparatus comprising:

a computing device, wherein the computing device is configured to:

receive user data;

retrieve an alimentary profile;

determine, a nutrient imbalance in the user utilizing a machine learning module, wherein determining the nutrient imbalance comprises:

receiving user training data correlating user data elements to recommended change elements;

training a machine learning model as a function of the user training data;

outputting a recommended change to user's food supply as a function of the machine learning model; and

present the predicted alimentary element, alternative alimentary element and recommended change to user's food supply via a graphical user interface.

2 . The apparatus of claim 1 , wherein the user data comprises a discovery center experience score.

3 . The apparatus of claim 2 , wherein the discovery center experience score comprises information related to user brain health optimization.

4 . The apparatus of claim 3 , wherein information related to user brain health optimization comprises a cognitive assessment.

5 . The apparatus of claim 2 , wherein the discovery center experience score is a function of at least one discovery center experience of a user.

6 . The apparatus of claim 1 , wherein a discovery center experience score is calculated utilizing a machine learning module comprising:

training, using the machine learning module using training data and a machine learning algorithm, wherein the machine learning module is configured to input user data and output a discovery center experience score.

7 . The apparatus of claim 2 , wherein the discovery center experience score is weighed.

8 . The apparatus of claim 1 wherein the recommended change to user's food supply comprises a temporal attribute.

9 . The apparatus of claim 8 , wherein the temporal attribute comprises an optimal mealtime.

10 . The apparatus of claim 1 , wherein the nutrient imbalance comprises a vitamin deficiency.

11 . A method for predicting alimentary element ordering based on biological extraction, the method comprising:

receiving, by a computing device, user data and an alimentary element order chronicle of a user;

retrieving, by the computing device, an alimentary profile;

determining, a nutrient imbalance in the user utilizing a machine learning module, wherein determining the nutrient imbalance comprises:

receiving user training data correlating user data elements to recommended change elements;

training a machine learning model as a function of the user training data;

outputting a recommended change to user's food supply as a function of the machine learning model; and

presenting, by the computing device, the predicted alimentary element, the alternative alimentary element and the recommended change to user's food supply via a graphical user interface.

12 . The method of claim 11 , wherein the user data comprises a discovery center experience score.

13 . The method of claim 12 , wherein the discovery center experience score comprises information related to user brain health optimization.

14 . The method of claim 13 , wherein the information related to user brain health optimization comprises a cognitive assessment.

15 . The method of claim 12 , wherein the discovery center experience score is based on at least one discovery center experience of a user.

16 . The method of claim 11 , wherein a discovery center experience score is calculated utilizing a machine learning module comprising:

training, using the machine learning module using training data and a machine learning algorithm, wherein the machine learning module is configured to input user data and output a discovery center experience score.

17 . The method of claim 12 , wherein the discovery center experience score is weighed.

18 . The method of claim 11 wherein the recommended change to user's food supply comprises a temporal attribute.

19 . The method of claim 18 , wherein the temporal attribute comprises an optimal mealtime.

20 . The method of claim 11 , wherein the nutrient imbalance comprises a vitamin deficiency.