An AI-powered Multi-Agent Travel Planner that uses multiple specialized AI agents to collaboratively research destinations, estimate travel costs, generate personalized itineraries, review the proposed plan, and provide travel safety recommendations. The system uses LangGraph to orchestrate the agents and manage the workflow from user requirements to a complete travel plan.
year
'26
LangGraph
Python
FastAPI
Problem
Planning a trip can be time-consuming because travelers need to research destinations, activities, accommodations, budgets, and safety information across multiple sources. Traditional travel planning also requires manually combining this information into a practical itinerary while ensuring it fits the user's preferences and budget.
Solution
The project provides an automated AI-based travel planning workflow where specialized agents work together. The Destination Research Agent gathers relevant destination information, the Budget Planner Agent estimates and organizes costs, and the Itinerary Generator Agent creates a personalized day-by-day plan. A Reviewer Agent evaluates and improves the generated itinerary, while a Security Agent checks for potential travel risks and provides safety recommendations. LangGraph coordinates the agents, allowing them to collaborate efficiently and produce a more complete and personalized travel plan.