How the Vocational Education AI Grading System Uses OCR Plus Large Models for Machine Pre-Assessment

The vocational education AI grading system uses OCR to recognize handwritten answers on answer sheets and practical work orders, then hands them to a large-model grading engine, which compares them item by item against the scoring rules configured by the institution and gives a pre-assessed score; the final score is determined after teacher review. The system supports offline private deployment, and the grading process keeps reviewable logs. It is suitable for scenarios such as vocational school end-of-term skills assessments, third-party evaluations by human resources and social security authorities, and vocational skill level certification.