Developer builds smart answer-sheet grader with OMR and LLM
11/10/2026 — 11/10, 20:22·1 sources (all)·1 reports (all)
Key takeaways
- A developer shared how they built a smart answer-sheet grading system: OMR handles multiple-choice questions, while a single LLM call grades…
Background & analysis
On November 10, 2026 at 15:10, a developer shared the process of building an intelligent answer sheet grading system on Juejin. The system uses OMR to recognize machine-readable fields for multiple-choice questions, and hands subjective questions to a single large language model call. The frontend is built with React + TypeScript + Tailwind, backed by FastAPI + SQLite, with the frontend and backend in the same repository, deployed locally so that data never leaves the school. The author reports that grading one class went from an all-night session to a few minutes. As of the available material, the project has been published as a single post, with no subsequent developments reported.
AI-generated from 1 reports · updated 3 days ago
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A developer shared how they built an answer-sheet grading system: OMR handles the multiple-choice questions while a single LLM call grades the subjective ones. The stack pairs a React + TypeScript + Tailwind frontend with a FastAPI + SQLite backend in one repo, deployed locally so student data never leaves the school. The author says grading a whole class now takes minutes instead of a night.
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