System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, request data comprising at least a natural language description, a budget parameter, a period parameter, and an emotion state parameter from a terminal device;
• apply a natural language processing algorithm to extract a structured parameter set from the request data, generate a prompt sentence embedding the structured parameter set, and input the prompt sentence to a generative neural network model to receive structured candidate data;
• execute search processing via an external data service to acquire availability data and fee data for the structured candidate data, verify against the budget parameter and the period parameter, and generate plan data;
• execute bulk request processing transmitting requests for confirmed candidates in bulk via the external data service, receiving confirmation data, and storing the confirmation data with the plan data;
• and
• dynamically adjust at least one of a time allocation parameter, a candidate type parameter, or a cost allocation parameter based on the emotion state parameter to regenerate updated plan data.

A method performed by circuitry, the method comprising:

• receiving, via a communication interface coupled to a packet-switched network, request data from a terminal device, the request data comprising at least a natural language description, a budget parameter, a period parameter, a departure location parameter, a desired activity parameter, and an emotion state parameter;
• applying a natural language processing algorithm to the request data to extract a structured parameter set comprising at least a budget range, a time period, a departure location, a purpose parameter, and desired activity types, and generating a prompt sentence embedding the structured parameter set and the request data;
• inputting the prompt sentence to a generative neural network model and receiving structured candidate data comprising at least first candidate records, second candidate records, and third candidate records from the generative neural network model;
• executing search processing via a standardized communication interface with an external data service to acquire availability data and fee data for candidates in the first candidate records and the second candidate records, and verifying the structured candidate data against the budget range and the time period to generate plan data;
• executing coordinated bulk request processing by transmitting request data for candidates in the first candidate records and the second candidate records in bulk via the standardized communication interface to the external data service, receiving confirmation data in response, and storing the confirmation data in association with the plan data;
• and
• dynamically adjusting at least one of a time allocation parameter, a candidate type parameter, a comfort level parameter, or a cost allocation parameter based on the emotion state parameter, and regenerating updated plan data incorporating the adjusted parameters.