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METHODS AND SYSTEMS FOR CALCULATING NUTRITIONAL REQUIREMENTS IN A DISPLAY INTERFACE

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  • Publication Date:
    January 6, 2022
  • معلومة اضافية
    • Document Number:
      20220005578
    • Appl. No:
      16/919532
    • Application Filed:
      July 02, 2020
    • نبذة مختصرة :
      A system for calculating nutritional requirements in a display interface the system including a computing device configured to initiate a display interface within the computing device; retrieve an input, including an input credential, and wherein the input relates a representative profile to a nutritional requirement; generate a training set using the input; receive a meal option; calculate using a machine-learning process, a nutritional requirement of the meal option using the training set; determine the nutritional requirement of the meal option as a function of the machine-learning process; and display the nutritional requirement within the display interface.
    • Claim:
      1. A system for calculating nutritional requirements in a display interface, the system comprising a computing device, the computing device configured to: initiate, a display interface within the computing device; retrieve, an input including an input credential, wherein the input relates a representative profile to a nutritional requirement; generate, a training set using the input, wherein generating the training set further comprises: receiving the input identifying the representative profile from a plurality of representative profiles; identifying a nutritional requirement contained within the identified representative profile; and generating the training set wherein the training set contains a plurality of nutritional requirements correlated to the identified representative profile; receive a meal option; display a description of the meal option in the display interface; calculate a nutritional requirement of the meal option, wherein calculating comprises: training a machine-learning process as a function of the training set, wherein training the machine-learning process comprises determining a plurality of distances associated with the plurality of nutritional requirements as a function of correlations between the plurality of nutritional requirements and the identified representative profile; and calculating the nutritional requirement, wherein the machine learning model inputs the representative profile and the meal option and outputs the nutritional requirement according the plurality of distances associated with the plurality of nutritional requirements; and display a graphical representation of the nutritional requirement from a group of two or more graphical representations within the display interface with the description of the meal option as a function of the calculated nutritional requirement.
    • Claim:
      2. The system of claim 1, wherein the representative profile further comprises a demographic label.
    • Claim:
      3. The system of claim 1, wherein the computing device is further configured to: generate a query using the input credential; and authenticate the input credential as a function of the query.
    • Claim:
      4. The system of claim 1, wherein the computing device is further configured to: determine an input credential status as a function of an expert credential list; discard the input as a function of the input credential status; and select a subsequent input including a subsequent input credential.
    • Claim:
      5. The system of claim 4, wherein the input credential status contains a temporal element.
    • Claim:
      6. The system of claim 1, wherein the meal option is selected from a list containing a plurality of meal options within a specified geographical area.
    • Claim:
      7. The system of claim 1, wherein the computing device is further configured to: receive a portion size associated with the meal option; and update the graphical representation of the nutritional requirement to another from the group of two or more graphical representations based on the portion size.
    • Claim:
      8. (canceled)
    • Claim:
      9. The system of claim 1, wherein the computing device is further configured to: receive a user input identifying a food preference; and display the nutritional requirement as a function of the food preference.
    • Claim:
      10. The system of claim 1, wherein the nutritional requirement is displayed as a numerical output including a range of values.
    • Claim:
      11. A method of calculating nutritional requirements in a display interface the method comprising: initiating by a computing device, a display interface within the computing device; retrieving by the computing device, an input, including an input credential, and wherein the input relates a representative profile to a nutritional requirement; generating by the computing device, a training set using the input, wherein generating the training set further comprises: receiving the input identifying the representative profile from a plurality of representative profiles; identifying a nutritional requirement contained within the identified representative profile; and generating the training set wherein the training set contains a plurality of nutritional requirements correlated to the identified representative profile; receiving by the computing device, a meal option; displaying, in the display interface, a description of the meal option in the display interface; calculating by the computing device, a nutritional requirement of the meal option, wherein calculating comprises training a machine-learning process as a function of the training set, wherein training the machine-learning process comprises determining a plurality of distances associated with the plurality of nutritional requirements as a function of correlations between the plurality of nutritional requirements and the identified representative profile and wherein the machine-learning process inputs the nutritional requirement and the meal option and outputs the nutritional requirement according the plurality of distances associated with the plurality of nutritional requirements; and displaying by the computing device, a graphical representation of the nutritional requirement from a group of two or more graphical representations within the display interface with the description of the meal option as a function of the calculated nutritional requirement.
    • Claim:
      12. The method of claim 11, wherein the representative profile further comprises a demographic label.
    • Claim:
      13. The method of claim 11, wherein retrieving the input further comprises: generating a query using the input credential; and authenticating the input credential as a function of the query.
    • Claim:
      14. The method of claim 11, wherein retrieving the input further comprises: determining the input credential status as a function of an expert credential list; discarding the input as a function of the input credential status; and selecting a subsequent input including a subsequent input credential.
    • Claim:
      15. The method of claim 14, wherein the input credential status contains a temporal element.
    • Claim:
      16. The method of claim 11, wherein the meal option is selected from a list containing a plurality of meal options within a specified geographical area.
    • Claim:
      17. The method of claim 11, further comprising: receiving a portion size associated with the meal option; and updating the graphical representation of the nutritional requirement to another from the group of two or more graphical representations based on the portion size.
    • Claim:
      18. (canceled)
    • Claim:
      19. The method of claim 11, wherein displaying the nutritional requirement further comprises: receiving a user input identifying a food preference; and displaying the nutritional requirement as a function of the food preference.
    • Claim:
      20. The method of claim 11, wherein the nutritional requirement is displayed as a numerical output including a range of values.
    • Current International Class:
      16; 06; 06; 06
    • الرقم المعرف:
      edspap.20220005578