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US 11,688,506 B2Granted
Methods and systems for calculating an edible score in a display interface
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for calculating an edible score in a display interface, including a computing device configured to initiate, a display interface; retrieve, a performance profile relating to a user; determine, an edible of interest; receive, nourishment information relating to the edible of interest; generate, a score machine-learning process to output an edible score; and display, the edible score within the display interface.
Claims18
A system for calculating a score for an edible in a display interface, the system comprising a computing device configured to:
- initiate a display interface within the computing device;
- retrieve a performance profile relating to a user, wherein the performance profile includes a current level of age related degradation, wherein retrieving the performance profile comprises retrieving the performance profile as a function of a user questionnaire on the display interface and at least a sensor configured to detect at least a hematological parameter, wherein the performance profile comprises a biological extraction and at least an element of data, the element of data comprising at least a user's toxicity level and at least a user's medication use;
- determine an edible of interest, wherein determining the edible further comprises:
- identifying a user dietary habit as a function of a user database;
- receiving an element of user geolocation data;
- and
- determining the edible of interest as a function of the user dietary habit, element of user geolocation data, and an edible database;
- determine nourishment information relating to the edible of interest using a dietary classifier configured to receive the edible of interest and output a dietary label using a classification process;
- generate a score machine-learning process, wherein generating the score machine-learning process further comprises:
- training, iteratively, the score machine-learning process using edible training data, wherein edible training data contains a plurality of data entries, each data entry containing a performance profile and nourishment information and a correlated score data based on the performance profile and nourishment information for a given edible, wherein the edible training data further comprises previous outputs from the score machine-learning process;
- and
- calculating the score for the edible of interest as a function of the score machine-learning process, wherein the score machine-learning process uses the performance profile and the nourishment information relating to the edible of interest as an input, and outputs the score;
- and
- display the score and the dietary label within the display interface.
11 more elements
A method of calculating a score in a display interface, the method comprising:
- initiating by a computing device, a display interface;
- retrieving, by the display interface on the computing device, a performance profile relating to a user, wherein the performance profile includes a current level of age related degradation, wherein retrieving the performance profile comprises retrieving the performance profile as a function of a user questionnaire on the display interface and at least a sensor configured to detect at least a hematological parameter, wherein the performance profile comprises a biological extraction and at least an element of data, the element of data comprising at least a user's toxicity level and at least a user's medication use;
- determining by the computing device, an edible of interest, wherein determining the edible further comprises:
- identifying a user dietary habit;
- receiving an element of user geolocation data;
- and
- determining the edible of interest as a function of the user dietary habit, element of user geolocation data, and an edible database;
- determining by the computing device, nourishment information relating to the edible of interest using a dietary classifier configured to receive the edible of interest and output a dietary label;
- generating by the computing device, a score machine-learning process, wherein generating the score machine-learning process further comprises:
- training, iteratively, the score machine-learning process using edible training data, wherein edible training data contains a plurality of data entries containing a performance profile and nourishment information relating to an edible correlated to an edible score based on the performance profile and nourishment information for the edible, wherein the edible training data further comprises previous outputs from the score machine-learning process;
- and
- calculating the score for the edible of interest as a function of training the score machine-learning process, wherein the score machine-learning process uses the performance profile and the nourishment information relating to the edible of interest as an input, and outputs the score for the edible of interest;
- and
- displaying by the computing device, the edible score within the display interface.
11 more elements
Dependencies are inferred from the claim text.