National Parks Chatbot

D 53 completed
Ai Ml
unknown / python · tiny
23
Files
2,719
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#361650
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
41.48
Framework unique
Isolation
Last stage change
2026-05-10 03:35:38
Deduplication group #47400
Member of a group with 15 similar repo(s) — canonical #29134 view group →
Top concepts (2)
Project DescriptionWeb Backend
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/

AI Prompt

Create a chatbot application using Python and FastAPI that allows users to explore and learn about U.S. National Parks through natural conversation. The system must implement a Retrieval Augmented Generation (RAG) pipeline that uses Cohere for embeddings, Qdrant Cloud for vector search, and the Groq API with Llama 3.3 70B for generation. Key features include multi-turn conversation memory, automatic query rewriting to resolve pronouns, and providing citations to authoritative sources from official NPS data. The entire stack should be designed to run using free-tier services.
python fastapi chatbot rag groq cohere qdrant llm natural-language-processing ai
Generated by gemma4:latest

Catalog Information

This project is a chatbot that helps users explore and learn about U.S. National Parks through natural conversation.

Description

The national parks chatbot is an intelligent conversational interface that provides information on over 20 major U.S. National Parks. It features a natural language Q&A interface, multi-turn conversation memory, and sourcing from official NPS data and documents. The chatbot uses free-tier services and is powered by Groq API for fast responses.

الوصف

هذا البوت هو محادثة ذكية تساعد المستخدمين على استكشاف و تعلم عن الحدائق الوطنية الأمريكية من خلال محادثة طبيعية. يحتوي البوت على واجهة سؤال-جواب باللغة الطبيعية، ذاكرة المحادثة المتعددة الدورات، ومصادر من البيانات الرسمية للحديقة الوطنية والوثائق. يستخدم البوت خدمات مجانية وتعمل بسرعة باستخدام API Groq.

Novelty

7/10

Tags

information-retrieval natural-language-processing conversational-ai national-parks education

Claude Models

claude-sonnet-4.6

Quality Score

D
53.4/100
Structure
43
Code Quality
65
Documentation
58
Testing
0
Practices
66
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 tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 188 duplicate lines detected \u2014 consider DRY refactoring
  • 1 '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

4.8h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Repobility · severity-and-effort ranking · https://repobility.com
Unknown
License
2.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
78.6%
markdown
19.7%
text
0.9%
yaml
0.9%

Frameworks

FastAPI

Concepts (2)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
auto_descriptionProject DescriptionAn intelligent chatbot that helps users explore and learn about U.S. National Parks through natural conversation. Built using RAG (Retrieval Augmented Generation) with 100% free-tier services.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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