Homework Grading

About

Homework Grading is an intelligent service built on the Model Context Protocol (MCP) designed to streamline the assessment process for educators. It leverages the advanced Qwen3-VL-235B-A22B-Instruct multimodal model from the ModelScope community to accurately identify questions and student answers within homework images. The tool provides precise, question-by-question grading, offering detailed scores, intelligent explanations, and comprehensive feedback. Supporting batch processing, various subjects, and flexible image input (URLs or Base64), it offers a robust solution for efficient and automated homework assessment.

Key Features

• Intelligent recognition of questions and student answers from images.
• Precise, question-by-question grading with detailed scores and feedback.
• Compatible with various subjects (Math, Chinese, English, etc.) and image sources (URLs, Base64, CDN links).
• Provides intelligent explanations for each graded question.
• Supports batch processing for multiple homework submissions simultaneously.
• 0 GitHub stars

Use Cases

• Efficiently processing and grading essays or reading comprehension tasks for language arts teachers.
• Integrating AI-powered homework assessment into IDEs (e.g., VS Code) or other MCP-compatible client applications.
• Automated grading for math teachers assessing geometry or calculation homework.