System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network conforming to at least one of a 5G, Wi-Fi, or Bluetooth communication standard, input information from a terminal device comprising a display, an input device, and a communication module;
• normalize the input information into an internal data record comprising a user identifier, a prompt text, and a request timestamp;
• construct a natural-language prompt sentence by concatenating an instruction template with the prompt text and converting the concatenated text into a token sequence using a tokenizer;
• supply the token sequence to a transformer-based generative neural network model comprising a stack of self-attention layers and feed-forward layers and acquire an analysis result comprising structured attribute information;
• apply natural language processing including part-of-speech tagging and named entity recognition to the input information and scan annotated tokens against a rule set to extract candidate format indicators with confidence scores;
• combine the candidate format indicators with the analysis result using a decision algorithm to determine a format classification;
• apply an emotion estimation neural network classifier to data received from the terminal device to compute a dominant emotion category;
• generate structured notification data based on the format classification, the structured attribute information, and the dominant emotion category, the structured notification data comprising a notification subject, a body message with a tone adjusted according to the dominant emotion category, and format-specific access information;
• and
• transmit the structured notification data, via the communication interface coupled to the packet-switched network, to a schedule management server for registration as a calendar entry and to the terminal device for rendering on the display.

A method comprising:

• receiving, by circuitry via a communication interface coupled to a packet-switched network, input information from a terminal device;
• constructing, by the circuitry, a natural-language prompt sentence based on the input information and supplying the natural-language prompt sentence to a transformer-based generative neural network model to acquire an analysis result;
• evaluating, by the circuitry, the analysis result against a rule set stored in a non-transitory storage medium to determine a format classification;
• and
• generating, by the circuitry, based on the format classification and the analysis result, structured notification data and transmitting the structured notification data, via the communication interface coupled to the packet-switched network, to a schedule management server for registration and to the terminal device for rendering on a display.