About
This solution analyses photos of handwritten Chinese compositions to provide scores and feedback based on teacher-configurable rubrics. The technical core combines Optical Character Recognition (OCR) with LLMs for text extraction. A multi-agent system separates perception from analysis, utilising LLMs to evaluate content against JSON-configured rubrics and employing semantic analysis LLMs to generate comprehensive feedback summaries.
Features
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Handwriting Analysis: Capable of processing and scoring photos of handwritten Chinese text.
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Configurable Rubrics: Allows teachers to set specific scoring criteria and rubrics.
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Detailed Feedback: Generates scores along with natural language summaries and suggestions.




