AI Travel Agent
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AI Travel Agent
Overview :
The AI Travel Agent is an intelligent travel assistant built on LangGraph, designed to provide users with a seamless travel planning experience using various language models. This product can manage tasks such as flight inquiries, hotel bookings, and personalized email dispatches, significantly enhancing travel efficiency. Its main advantages include stateful interactions, user-controlled key operations, and dynamic language model switching, making it ideal for users seeking efficient travel planning.
Target Users :
This product is designed for frequent business travelers, travel enthusiasts, and users who require efficient travel arrangements. The AI Travel Agent helps them save time and energy by providing personalized travel suggestions through automation and intelligence.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 54.1K
Use Cases
Users input travel requests, and the system automatically generates flight and hotel options.
After reviewing the travel plan, the system automatically sends a confirmation email.
Users can interact with the assistant using natural language for real-time travel suggestions.
Features
Stateful interactions: Remembers users' historical interactions to ensure a smooth user experience.
Human-machine collaboration: Users can review travel plans before sending emails to ensure information accuracy.
Dynamic language model usage: Intelligently switches between different language models based on the task.
Email automation: Automatically generates and sends detailed travel plan emails to users.
API integration: Supports integration with multiple APIs such as OpenAI and SERPAPI for real-time data.
User-friendly interface: Designed with simplicity for easy input of user requirements.
Multi-language support: Capable of handling inputs in various languages to cater to different users' needs.
Real-time feedback: Generates travel suggestions and options based on user input instantly.
How to Use
Visit the product page and clone the code repository.
Set up a virtual environment and install the required dependencies.
Create a .env file and add your API key.
Run the command to launch the chatbot: streamlit run app.py.
Input your travel request and wait for the system to generate suggestions.
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