Solution

[EdmarCaixeta]

No description provided.

[github-actions]

AI Detection Analysis 🔍

Confidence Score: 35%

Reasoning: The content of this pull request appears to be primarily written and implemented by a human. The explanations in the README, the structure of the code, and the organization of the application components suggest a deliberate engineering process typical of a human developer who is solving a specific technical challenge. The README contains narrative elements that reflect personal judgments and decisions (e.g., choosing not to overcomplicate the elevator model). The provided code is functional, well-structured, and contains realistic variable naming and implementation choices aligned with common engineering practice.

However, there are some elements—such as very clean structure, lack of spelling or grammar mistakes, systematic formatting, and extensive inline documentation—that slightly raise the possibility of AI assistance in part of the writing or generation, especially for boilerplate components (e.g., Dockerfile, requirements.txt). Still, these could just as easily be generated by tools commonly used by human developers.

Key Indicators:

• Human Indicators:
  • Highly contextual explanation in the README, including subjective explanations of modeling choices.
  • Mock usage for testing MongoDB interactions suggests understanding of dependency isolation in unit testing.
  • Custom business logic in Python (floor validation, weight checks) is clearly domain-tailored.
  • Usage of idiomatic Python practices and FastAPI conventions.
• Possible AI/Automation Indicators:
  • Exceptionally clean and structured formatting across the codebase.
  • README reads like potentially AI-refined prose, though the storytelling tone strongly indicates human authorship.
  • Systematic use of conventional filenames and clean dependency management.

Overall, the contributions are indicative of a skilled developer, possibly using efficiency tools or templates, but not suggesting large-scale AI authorship.

✅ No strong indicators of AI generation detected

[EdmarCaixeta]

@ggiesa Inside the challenge documentation (README file), it is stated that the approved PRs will receive standard hourly rate payment. I have not received any feedback or evaluation of my PR. Could you give me an update about this?

[ggiesa]

@ggiesa Inside the challenge documentation (README file), it is stated that the approved PRs will receive standard hourly rate payment. I have not received any feedback or evaluation of my PR. Could you give me an update about this?

Hi @EdmarCaixeta, I'm no longer affiliated with Citric Sheep. Please ping @dchecks or @citric-nacho for feedback/questions. Best of luck with the process! 🙌