This project is from team Cabbage, which was awarded the Third Prize in the Alibaba Cloud Singapore AI Hackathon.
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.
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.
The Qwen Multi-Modal model has been exceptional, effectively addressing our need for quick query solutions.
Our team consisted of a PhD student from Zhejiang University and a graduate from Nanyang Technological University.
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