gaokao-collect-student-info

To collect student data for college application guidance, this Skill maps natural language interview responses into a standardized JSON format, ensuring data readiness for downstream university recommendation APIs through strict field validation.

Capturing unstructured student information during a college application interview is done by mapping natural language inputs to predefined JSON schemas, prioritizing the student's original phrasing for subjective fields to preserve their exact intent.

Yes, the data collection process supports diverse regional gaokao exam patterns including both 3+1+2 and 3+3 models, accurately mapping subject combinations into the structured JSON schema while maintaining data integrity.

To generate a student profile JSON file, initiate the interview process to ask the candidate questions, and their natural language responses will be automatically mapped and validated into the required structured JSON output.

Yes, you can use this tool to normalize qualitative student preferences for university matching by validating formats while specifically preserving the original phrasing of subjective fields like career goals to prevent analytical bias.

Mandatory fields required when structuring student information for college applications include essential data points like province, score, and subjects, which are strictly validated to ensure format normalization for downstream processing.