AI Travel Agent
AI Travel Agent streamlines trip planning with multilingual support, offering personalized flight and hotel options, automated email confirmations, and real-time travel suggestions.
English
English
What is AI Travel Agent?
AI Travel Agent is an intelligent travel assistant built using LangGraph. It helps users plan their trips efficiently by handling tasks such as flight inquiries, hotel bookings, and personalized email communications. Key features include maintaining user interaction context, allowing users to control critical operations, and dynamically switching between language models. This tool is ideal for frequent travelers, including business people and travel enthusiasts who need streamlined travel arrangements.
Who is it for?
The AI Travel Agent is perfect for those who frequently travel and require efficient travel planning. This includes busy professionals, travel enthusiasts, and anyone looking to save time and effort on trip planning. The AI Travel Agent offers personalized travel suggestions through automation and intelligence.
Example Scenarios:
A user inputs a travel request, and the system generates flight and hotel options.
After reviewing the travel plan, the system automatically sends a confirmation email.
Users can interact naturally with the assistant to get real-time travel advice.
Key Features:
Maintains user interaction context for a seamless experience.
Allows users to review and confirm travel plans before sending emails.
Dynamically switches between language models based on the task.
Automates the creation and sending of detailed travel plans via email.
Supports integration with multiple APIs like OpenAI and SERPAPI for real-time data.
Offers a user-friendly interface for easy input of travel needs.
Supports multiple languages to cater to diverse user needs.
Provides real-time feedback on travel suggestions and options.
How to Use:
1. Visit the product page and clone the code repository.
2. Set up a virtual environment and install the necessary dependencies.
3. Create a .env file and add API keys.
4. Run the command to start the chatbot: streamlit run app.py.
5. Input your travel requests and wait for the system to generate recommendations.
