Abstract

This project presents a Travel Planning AI Agent developed using LangGraph, designed to assist users in crafting personalized travel experiences. Through interactive dialogues, the agent gathers user-specific information—such as name, current city, travel preferences, dates, and budget constraints—to offer tailored destination recommendations. Upon selection, it generates detailed itineraries that encompass day-by-day plans, flight options via the Google Flights API, weather forecasts from the AccuWeather API, and suggestions for local attractions and activities. This intelligent system streamlines the travel planning process by integrating multiple data sources to deliver comprehensive and customized travel solutions.

Methodology

The development of the Travel Planning AI Agent involved several key steps:

1. User Interaction Design: Crafted an interactive conversational flow to effectively collect essential user information, including personal details, travel preferences, dates, and budget.

2. Destination Recommendation Engine: Developed an AI-driven module that analyzes user inputs to suggest destinations aligning with the user's interests and constraints.

3. Itinerary Generation: Implemented a system to create detailed, day-by-day travel plans. This includes:

   • Flight Information: Integrated the Google Flights API to provide real-time flight options.

   • Weather Forecasts: Utilized the AccuWeather API to fetch up-to-date weather information for the selected destination.

   • Local Attractions: Curated a list of activities and points of interest relevant to the user's preferences.

4. LangGraph Integration: Leveraged LangGraph to construct a stateful, multi-step application, ensuring seamless transitions and data flow between different stages of the planning process.

Results

The implementation of the Travel Planning AI Agent resulted in a functional system capable of delivering personalized travel plans. User testing demonstrated the agent's proficiency in understanding diverse preferences and generating appropriate destination suggestions. The itineraries produced were comprehensive, incorporating real-time flight data, accurate weather forecasts, and curated local attractions. Feedback indicated that users found the agent to be a valuable tool in simplifying and enhancing the travel planning experience.

Workflow Graph

Demo

Demo Video