Autoalbum
C 63 completed
Other
unknown / python · tiny
29
Files
2,497
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#394250Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
33.40Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #48145
Member of a group with 1 similar repo(s) — canonical #117145 view group →
Top concepts (2)
Project DescriptionWeb Backend
Open data scored by Repobility · https://repobility.com
AI Prompt
Create a full-featured, AI-driven home photo album management system using Python and Flask. The system needs to analyze photos by performing face recognition (using dlib), OCR text extraction (with Qwen3-VL-4B), general image understanding, and EXIF data extraction. Key features should include detecting duplicate photos using pHash, allowing users to browse photos grouped by date or filter by person. The web interface should support fuzzy searching across OCR text, categories, and person names. Please structure the project with separate modules for analysis and the Flask web service, and use SQLite for data persistence.
python flask ai image-processing face-recognition ocr web-app photo-management dlib sqlite
Generated by gemma4:latest
Catalog Information
AI 驱动的家庭照片分析与管理系统，支持人脸识别、OCR 提取、图片内容理解、EXIF 信息提取等功能。
Description
AI 驱动的家庭照片分析与管理系统，支持人脸识别、OCR 提取、图片内容理解、EXIF 信息提取等功能。
Novelty
3/10Tags
python flask ai image-processing face-recognition ocr web-app photo-management dlib sqlite
Technologies
flask
Claude Models
claude-opus-4-6
Quality Score
C
62.7/100
Structure
46
Code Quality
85
Documentation
64
Testing
20
Practices
64
Security
100
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
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
4.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Same scanner, your repo: https://repobility.com — Repobility
Unknown
License
1.0%
Duplication
Languages
Frameworks
Flask
Concepts (2)
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| auto_description | Project Description |    | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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