Placebogpt

D 55 completed
Ai Ml
web_app / html · tiny
10
Files
1,199
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#365186
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
51.80
Framework unique
Isolation
Last stage change
2026-05-10 03:35:38
Deduplication group #58194
Member of a group with 2 similar repo(s) — canonical #95076 view group →
Top concepts (2)
Project DescriptionWeb Backend
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.

AI Prompt

Create a web application called PlaceboGPT that functions as a medical AI to provide evidence-based advice for any user query. The application should be built using Flask and should display the model's advice, which is designed to prioritize patient safety. I need to structure the project to handle the core logic, potentially using Python files for the model components, and I should include a README explaining its function and performance metrics, such as its low parameter count and high accuracy.
flask python web-app medical-ai health evidence-based machine-learning api
Generated by gemma4:latest

Catalog Information

PlaceboGPT is a medical AI that provides evidence-based advice for any query, prioritizing patient safety.

Description

PlaceboGPT is a language model designed to provide safe and accurate medical advice. It uses a 7,666-parameter architecture and has been trained on various metrics to ensure its performance meets industry standards. The model's architecture includes a character tokenizer, embedding layer, LSTM, and linear classifier. PlaceboGPT aims to be the safest medical AI available, with a focus on patient safety and well-being.

الوصف

يعد PlaceboGPT نموذج اللغة مصمم لتقديم نصائح طبية آمنة و دقيقة. يستخدم architecture يحتوي على 7,666-بارامتر وتم تدريبه على متغيرات مختلفة لضمان أدائه يتوافق مع المعايير الصناعة. يتألف نموذج architecture من tokenizer للشخصيات، وطبقة التمثيل، و LSTM، ومدخل خطي. يهدف PlaceboGPT إلى أن يكون أكثر أمانًا من أي نموذج طبية متاحة، بتركيز على السلامة المرضية للمريض.

Novelty

9/10

Tags

medical-advice patient-safety evidence-based language-model healthcare

Technologies

flask gunicorn pytorch

Claude Models

claude-opus-4.6 claude-opus-4.5

Quality Score

D
55.3/100
Structure
44
Code Quality
80
Documentation
58
Testing
0
Practices
62
Security
84
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 tests found \u2014 high risk of regressions
  • 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 (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (8)
Repobility (the analyzer behind this table) · https://repobility.com
Unknown
License
5.7%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

html
53.8%
python
25.3%
markdown
19.4%
json
0.9%
text
0.6%

Frameworks

Flask

Concepts (2)

Repobility · the analyzer behind every row · https://repobility.com
CategoryNameDescriptionConfidence
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
auto_descriptionProject DescriptionThe world's safest medical AI.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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