Unleash the power of CrewAI Travel Agents for stress-free vacations

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AI Summary

- Introduction to AI Crew for Trip Planning  
  - AI agents collaborate to plan trips based on user preferences.  
  - Step-by-step guide on setting up and running the code locally.  
  
- Setup Instructions  
  - Clone the repository: `git clone crew AI examples`.  
  - Navigate to `crew AI examples/trip planner` directory.  
  - Rename `env.example` to `.env` and enter required API keys.  
  - Create a virtual environment with Python 3.1.  
  - Activate the environment and install dependencies using `poetry`.  
  
- Code Explanation  
  - `tripcore_agents.py`: Defines City Selection, Local Expert, and Travel Concierge agents.  
    - City Selection Agent: Chooses cities based on weather, season, and prices.  
    - Local Expert Agent: Provides insights about the selected city.  
    - Travel Concierge Agent: Suggests travel itinerary with budget and packaging.  
  - `trip_tasks.py`: Describes tasks for city selection, gathering information, and planning a 7-day travel itinerary.  
  - `main.py`: Initiates agents, assigns tasks, and starts the Crew AI with user input.  
  
- Running the Code  
  - Execute `poetry run python main.py` in the terminal.  
  - Input travel details: departure city, destination options, date range, interests, and hobbies.  
  - AI uses this information to customize the itinerary.  
  
- Output  
  - The AI presents a detailed itinerary including events, attractions, and a daily plan with budget estimates.  
  - Example itinerary for London includes sightseeing, cultural events, AI conferences, and food festivals.  
  
- Conclusion  
  - The AI Crew system is customizable for different user needs.  
  - Encouragement to subscribe to the YouTube channel for more AI-related content.