Create a Multi-Agent Travel Planner App with CrewAI and Flask

In this course path, you will build a multi-agent travel planning application that combines CrewAI with Flask. You will create agents with defined roles, assign tasks, and coordinate their collaboration to produce detailed travel recommendations. You will then expand the system with cleaner agent organization, structured outputs, custom tools, web search, and web scraping. These additions help the application use external information and return more consistent itinerary data. By the end, you will connect the agent workflow to a web application with interactive routes, HTML pages, and styling. This path is designed for learners with some programming experience who want to apply AI agents in a practical web app project.

Syllabus

Build a multi-agent travel planning workflow with CrewAI
Define agents, roles, tasks, and collaboration patterns for itinerary generation
Integrate CrewAI outputs into a Flask web application
Create interactive endpoints and HTML pages for user travel requests
Organize agent code using CrewBase for maintainable projects
Validate and structure agent outputs with Pydantic models
Add custom web search and scraping tools to support real-time travel research