Patent ID: 11874843
Assignee: THE STRATEGIC COACH INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An apparatus for tracking progress of measured phenomena, the apparatus comprising:
at least a processor;
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
receive a user datum;
generate an interface query data structure including at least a query including an input field based on the user datum, wherein the interface query data structure configures a remote display device to:
display the input field to the user;
receive at least a first user-input datum into the input field;
retrieve data describing attributes of the user from a database communicatively connected with the processor; and
refine the interface query data structure based on data describing attributes of the user from the database;

generate multiple data multipliers based on the first user-input datum, wherein:
each data multiplier includes multiple data values including relatively higher data values describing data indicative of progress of the user toward matching a target; and
at least some data multipliers are generated and scored using a machine learning model including a classifier configured to correlate the user datum and the first user-input datum to data describing the target into an ordered list based on score;

generate a strategy data for the user based on the first user-input datum, relatively higher data values, and the ordered list, wherein:
the strategy data is generated in response to a data multiplier instruction defined as multiplying at least the first user-input datum by relatively higher data values and displaying feedback to the user according to the ordered list; and
the interface query data structure configures the remote display device to:
display at least the strategy data;
receive a second user-input datum through the remote display device corresponding to at least some aspects of the strategy data, the second user-input datum demonstrating either a similarity or a dissimilarity to the first user-input datum, the strategy data configured to be iteratively recalculated based on the second user-input datum by at least the machine learning model; and
display the performance data output to the user.