Exam Classifier Poc
F 49 completed
Other
web_app / javascript · tiny
15
Files
1,394
LOC
2
Frameworks
6
Languages
Pipeline State
completedRun ID
#396340Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
46.38Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:10Deduplication group #60485
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · code-quality intelligence platform · https://repobility.com
AI Prompt
Create a web application that can automatically process an English exam PDF. The system needs to split the PDF into individual questions and then classify each question against a predefined taxonomy using the Gemini 2.0 Flash API. The frontend should allow a user to upload a PDF, and upon processing, display reviewable question cards. These cards must show confidence tags (green for $\ge 85\%$, orange for $70-84\%$, and red for $<70\%$) and allow hovering to see the full taxonomy breakdown across five dimensions (Subject, Unit, Section, Learning Point, Type). The backend should be built with FastAPI, and the frontend with React.
javascript react fastapi python gemini pdf-processing web-app classification
Generated by gemma4:latest
Catalog Information
Auto-splits an English exam PDF into individual questions and classifies each one against a taxonomy using Gemini 2.0 Flash.
Description
Auto-splits an English exam PDF into individual questions and classifies each one against a taxonomy using Gemini 2.0 Flash.
Novelty
3/10Tags
javascript react fastapi python gemini pdf-processing web-app classification
Claude Models
claude-opus-4-6
Quality Score
F
49.2/100
Structure
39
Code Quality
52
Documentation
42
Testing
0
Practices
81
Security
100
Dependencies
60
Strengths
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 124 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
5.1h
Tech Debt (D)
A
OWASP (100%)
FAIL
Quality Gate
B
Risk (21)
Powered by Repobility — scan your code at https://repobility.com
Unknown
License
0.8%
Duplication
Languages
Frameworks
FastAPI React
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Auto-splits an English exam PDF into individual questions and classifies each one against a taxonomy using Gemini 2.0 Flash. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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