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Yashchoudhary3 / repository
An AI-powered travel planning application that uses multiple AI agents to understand user requirements, research destinations, analyze live travel information, and generate personalized travel itineraries.
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An AI-powered travel planning application built with LangGraph, LangChain, FastAPI, and Groq.
The application understands natural language travel requests, gathers real-time travel information, and generates personalized travel itineraries using a multi-agent workflow.
app/
├── agents/
├── graph/
├── models/
├── tools/
├── config/
└── main.py
User Request
│
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Requirement Extraction
│
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Destination Research
│
├── Web Search
├── Weather
└── Geolocation
│
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Travel Planning
│
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Final Itinerary
git clone <repository-url>
cd <project-folder>
python -m venv venv
# Windows
venv\Scripts\activate
# Linux / macOS
source venv/bin/activate
pip install -r requirements.txt
uvicorn main:app --reload
This project is intended for learning and educational purposes.
Selected from shared topics, language and repository description—not editorial ratings.
arjunprabhulal /
An AI-powered travel planning application that uses Gemini LLM and CrewAI to automate trip planning with multiple specialized AI agents. This project demonstrates agentic AI collaboration to search flights, find hotels, and generate personalized travel itineraries.
57/100 health