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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.
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An agentic AI travel planning application using Gemini LLM and CrewAI framework. This project demonstrates how AI agents collaborate to streamline the travel planning process - retrieving real-time flight and hotel data, analyzing options, and generating personalized itineraries.
This project demonstrates how to build a multi-agent system where specialized AI agents work together to create comprehensive travel plans. Instead of manually searching across multiple platforms, this application automates the process through intelligent AI collaboration.
The system leverages:
This project is based on the article: Agentic AI: Building a Multi-Agent AI Travel Planner using Gemini LLM & Crew AI
Selected from shared topics, language and repository description—not editorial ratings.
Yashchoudhary3 /
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.
63/100 healthgit clone https://github.com/arjunprabhulal/gemini-crewai-travelplanner.git
cd gemini-crewai-travelplanner
# Create virtual environment
python -m venv venv
# Activate virtual environment
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate
pip install -r requirements.txt
# Load API Keys
GEMINI_API_KEY = os.getenv("GOOGLE_API_KEY", "your_gemini_api_key_here")
SERP_API_KEY = os.getenv("SERP_API_KEY", "your_serpapi_key_here")
python gemini2_travel_v2.py
python gemini2_travel_v2_frontend.py
Open your browser and navigate to http://localhost:8501
Enter your travel preferences:
Review the personalized results:
The application uses a collaborative AI system with specialized agents:
Flight Analyst Agent:
Hotel Analyst Agent:
Travel Planner Agent:
gemini2_travel_v2.py: FastAPI backend application with API endpoints, data fetching, and AI agent coordinationgemini2_travel_v2_frontend.py: Streamlit frontend interface for user interactionrequirements.txt: Project dependenciesimages/: Directory containing demonstration images and GIFs
travelplanner.webp: Static screenshot of the application interfacetravelplanner-demo.gif: Animated demonstration of the application in useThe application follows a modular architecture:
API Initialization:
Data Retrieval:
AI Analysis:
Frontend Interface:
This code is available on GitHub at arjunprabhulal/gemini-crewai-travelplanner.
For more articles on AI/ML and Generative AI, follow me on Medium: https://medium.com/@arjun-prabhulal