gaokao-recommend-majors

To get personalized major recommendations, input your structured student academic profile and university major lists as JSON data. The system analyzes your subject scores, interests, and career goals to match you with optimal academic programs and generate a tailored recommendation report.

The best way to match high school subjects with university programs is by analyzing subject requirements against the student's academic profile. This skill synthesizes subject scores and employment trends to identify optimal majors from the provided university lists.

Yes, the major recommendation system requires structured JSON inputs for student data and university major availability. This constraint-compliant format ensures the analysis accurately matches your academic profile with suitable major directions.

Yes, you can align career goals with college admissions data by processing your employment trends and academic interests together. The skill operates within the college application workflow to provide strategic advice and specific major lists based on your career path guidance.

A key limitation is the strict dependency on structured JSON inputs for both student profiles and university major availability. Without accurately parsed volunteer data and comprehensive major lists, the system cannot generate constraint-compliant or optimal academic program recommendations.

Data-driven analysis for choosing a major works by synthesizing a student's academic performance with parsed volunteer data. It evaluates subject requirements and employment trends to produce a standardized JSON report containing strategic advice and specific major directions.