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Community Blog Automated Marking Machine for Paper-Based Homework

Automated Marking Machine for Paper-Based Homework

This project is from team Cabbage, which was awarded the Third Prize in the Alibaba Cloud Singapore AI Hackathon.

This project is from team Cabbage, which was awarded the Third Prize in the Alibaba Cloud Singapore AI Hackathon.

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Project Introduction

Our project aims to streamline the homework marking process for teachers using the LLM Qwen Model. Essentially, teachers can scan a stack of student work into a printer, which will then produce the original work complete with grade markings.

Project Value and Solution

Our goal is to enhance the efficiency of teachers in grading assignments, while also capturing valuable homework statistics for future analysis and decision-making. This approach aims to alleviate the burden on teachers, providing them with more time to prepare and conduct classes, and reducing grading biases across different students.

We achieve this by scanning the student's work, processing it through LLM for prompt grading, and then integrating the grading back into the scanned paper for printing.

Alibaba Cloud Products Used

The Qwen Multi-Modal model has been exceptional, effectively addressing our need for quick query solutions.

About the Team

Our team consisted of a PhD student from Zhejiang University and a graduate from Nanyang Technological University.

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