DndMuzik/Agentic-AI-Trip-Planner-CrewAI

View on GitHub by @DndMuzik

🌍 Create personalized travel itineraries with Agentic AI Trip Planner, leveraging CrewAI for real-time search and intelligent trip planning.

What's novel

🌍 Create personalized travel itineraries with Agentic AI Trip Planner, leveraging CrewAI for real-time search and intelligent trip planning.

Code Analysis

12 files read · 6 rounds

A Streamlit web app that uses CrewAI multi-agent framework with LLM prompts and DuckDuckGo web search to generate markdown travel itineraries based on user-specified destinations, dates, and preferences.

Strengths

Well-structured multi-tier LLM fallback system (Groq → Google → Ollama) provides resilience, and the agent/task separation follows CrewAI patterns cleanly with detailed, well-organized prompt engineering.

Weaknesses

The core logic is entirely prompt-driven with no custom algorithms, data processing, or business logic beyond thin wrappers around LLM calls and DuckDuckGo search; no meaningful test coverage, no input validation, and no persistence layer beyond flat markdown files.

Score Breakdown

Innovation

3 (25%)

Craft

39 (35%)

Traction

11 (15%)

Scope

70 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+0

Craft

Ci-3

Tests-5

Polish+0

Releases-2

Has License+0

Code Quality+15

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+7

Languages+8

Subsystems+10

Bloat Penalty+0

Completeness+6

Contributors+6

Authored Files+15

Readme Code Match+3

Architecture Depth+5

Implementation Depth+8

Evidence

Commits

Contributors

Files

140

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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