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AI Travel Itinerary Planner with Kubernetes, GCP, and ELK Stack

The AI-Powered Travel Itinerary Planner is a web application that utilizes Large Language Models and real-time search tools to automatically generate personalized travel itineraries. It offers a streamlined and efficient way for travelers to create detailed, day-by-day plans tailored to their specific preferences, destinations, and travel styles, showcasing a complete LLMOps pipeline.

24 lectures

What You Will Learn

Mastering LangChain for designing and implementing agentic workflows.
Implementing real-time search APIs (Serper/Tavily) for travel-related data retrieval.
Building a user-friendly interface using Streamlit for interactive travel planning.
Containerizing applications using Docker for consistent deployment across environments.
Orchestrating containerized applications using Kubernetes on Google Cloud Platform.
Implementing logging and monitoring solutions using the ELK Stack.
Understanding core concepts of LLMOps for scalable AI application deployment.

System Architecture

AI Travel Itinerary Planner with Kubernetes, GCP, and ELK Stack Architecture Diagram

High-level architecture overview of the AI Travel Itinerary Planner with Kubernetes, GCP, and ELK Stack .

What You'll Build

  • A complete web application for generating personalized travel itineraries.
  • An agentic workflow powered by LangChain for orchestrating LLM-based planning.
  • A containerized application ready for deployment on Kubernetes.
  • A logging and monitoring dashboard using the ELK Stack for application insights.
AI Travel Itinerary Planner with Kubernetes, GCP, and ELK Stack
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