System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, image data and sensor data from a terminal device;
• transmit the image data to an object recognition resource and acquire identification result data comprising classification labels and confidence scores;
• compute intake parameter data by associating the identification result data with reference entries in a structured information storage and aggregating quantitative attribute values corresponding to the reference entries;
• compute expenditure parameter data by applying intensity coefficient data to the sensor data and position data received from the terminal device;
• generate structured evaluation data by comparing the intake parameter data and the expenditure parameter data with baseline reference data derived from user attribute data, and producing indicator data representing a surplus or deficiency of each of a plurality of tracked parameters;
• construct a prompt data structure by generating a natural-language summary of the structured evaluation data and appending instruction data specifying an output format, transmit the prompt data structure to a generative neural network model, and acquire generated guidance data from the generative neural network model;
• and
• store the generated guidance data in a history storage device and transmit the generated guidance data to the terminal device via the communication interface.

A method performed by circuitry, the method comprising:

• receiving, via a communication interface coupled to a packet-switched network, image data and time-series sensor data from a terminal device;
• transmitting the image data to an object recognition resource and acquiring identification result data from the object recognition resource;
• computing a first numerical parameter set based on component data derived from the identification result data and reference entries stored in a database;
• computing a second numerical parameter set based on the time-series sensor data and position data acquired from a location information acquisition device of the terminal device;
• generating structured evaluation data by aggregating the first numerical parameter set and the second numerical parameter set over a predetermined period, comparing aggregated values with baseline reference data and target parameter data, and producing surplus-or-deficiency indicator data;
• constructing a prompt data structure comprising a natural-language summary of the structured evaluation data and instruction data specifying an output format, and transmitting the prompt data structure to a generative neural network model via the packet-switched network;
• and
• acquiring generated text data from the generative neural network model, storing the generated text data in a history storage device, and transmitting the generated text data to the terminal device via the communication interface.