8/27/2024

Creating a Travel Itinerary Planner with Ollama

Planning a trip can be super exciting, but let’s face it – it can also be a bit overwhelming! There are so many DETAILS to consider, from picking the right destinations to mapping out each day. Luckily, with the help of modern technology, especially Ollama and its powerful Local Language Model (LLM), we can make this process a whole lot EASIER. Today, we’ll dive into how to create an effective travel itinerary planner using Ollama.

What is Ollama?

First things first, let’s understand what Ollama is. Ollama is a tool that allows you to run Open Source LLMs directly on your machine, providing the ability to build customized applications to suit your needs. This can be especially useful for creating a travel planner that can generate detailed itineraries based on user input, augmenting conventional planning methods with the power of AI.

Why Use an Itinerary Planner?

Before we jump into the tech side, let’s discuss a few reasons why you’d want to create an itinerary planner:

Customization: Tailor your trip to your interests, budget, and time. A personalized approach means your itinerary will fit like a glove!
Efficiency: Save time by getting organized. An itinerary planner can help streamline decision-making and give you a clear plan to follow on your trip.
Flexibility: It’s easier to make adjustments as you go along if you have a planned itinerary to adjust.

Sounds great, right? Now let’s get into the nitty-gritty of how to create this bad boy using Ollama.

Getting Started with Ollama

Installation: Start by installing Ollama on your local machine. You can find instructions on the Ollama GitHub page.
Set Up a Local LLM: Choose a model that suits your needs. For a travel itinerary planner, a model like Llama 2 or similar could be ideal.

Sample Setup for Ollama

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# Pull the Ollama image
docker pull ollama/ollama

# Run the Ollama model
ollama run llama2

Now that you’ve got your Ollama up and running, let’s focus on the itinerary planner.

Building the Itinerary Planner

You’ll need to think about the features that your planner will have. Here are some suggestions:

User Input: Allow users to provide inputs like destination, duration of stay, preferred activities, and any constraints (budget, mobility, etc.).
Recommendation System: Use Ollama’s recommendation LLM to suggest activities, places to eat, and must-see attractions.
Itinerary Outline: The planner should output a structured itinerary organized by day and time.

Example Input/Output Flow

Let’s look at how a user might interact with the itinerary planner:

User Input:

City: Tokyo
Days: 3
Requirements: Explore culinary, jazz bars, national scenery

Expected Output:

json
{
  "itineraries": [
    {
      "day": 1,
      "summary": "Discover best Tokyo's culinary jazz scene on first day",
      "details": {
        "morning": [{
          "name": "Tsukiji Fish Market",
          "activities": "Explore world-famous fish market and try fresh sushi for breakfast"
        }],
        "afternoon": [{
          "name": "Shibuya Crossing",
          "activities": "Take a stroll around the famous Shibuya district, grab lunch from food stalls."
        }],
        "evening": [{
          "name": "JZ Bratwurst",
          "activities": "Enjoy German-inspired meals and jazz tunes in a cozy bar"
        }],
        "night": [{
          "name": "Nonbei Yokocho",
          "activities": "Explore hidden alleys and try local craft beers."
        }]
      }
    },
    // Additional days...
  ]
}

Programming Your Itinerary Planner

The technical implementation involves using programming languages, perhaps Python, to interact with the RESTful API provided by your local Ollama instance. Here’s a basic outline of how you can code this:

Sample Python Code Snippet

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import requests
import json

# Function to generate itinerary
def generate_itinerary(city, days, requirements):
    url = 'http://localhost:11434/api/trip/plan'
    payload = {
        "city": city,
        "days": days,
        "requirements": requirements
    }
    headers = {'Content-Type': 'application/json'}

    response = requests.post(url, headers=headers, data=json.dumps(payload))
    return response.json()

# User inputs
city = "Tokyo"
days = 3
requirements = "Explore culinary, jazz bars, national scenery"

# Generate and print itinerary
itinerary = generate_itinerary(city, days, requirements)
print(itinerary)

This code creates a function to make a call to the Ollama API, providing it with the city information and desired activities. The generate_itinerary function sends this data to your local Ollama instance, which returns a structured itinerary.

Integrating with CrewAI for Enhanced Functionality

To take your itinerary planner to the NEXT LEVEL, consider using CrewAI’s framework. This allows you to orchestrate multiple agents to handle complex tasks. Here’s how you can integrate it:

Agent Setup: Define various agents that can handle different kinds of queries (local expert, booking assistant, etc.).
Task Management: Use CrewAI’s task management features to dynamically manage user requests and outputs from the Ollama LLM.
Interactive UI: Consider using Streamlit for a user-friendly interface where users can input their travel details.

Benefits of Using Ollama for Your Travel Planner

Cost-Effective: Run models locally without incurring hefty costs.
Customization: Tailor the planner’s responses to fit your unique travel style.
Data Privacy: Keep your user data secure by running everything on your local environment.

Why Choose Arsturn for Your AI Needs?

While we’re talking about creating great applications, don’t forget about Arsturn! With Arsturn’s platform, you can create your own conversational chatbots without needing to write any code. It’s a no-brainer for those looking to engage users SEAMLESSLY through chat experiences.

Benefits of Arsturn:

Customization: Create AI chatbots tailored to your brand.
Ease of Use: No coding skills required to set up your chatbot.
Engagement: Boost your audience engagement through interactive conversations.

Check out Arsturn today, create your own customized chat experience, and streamline your operations.

Conclusion

Building a travel itinerary planner with Ollama is not only feasible but also an incredibly rewarding project. You get to harness cutting-edge AI to make traveling more enjoyable and organized. Plus, when you pair it with solutions like Arsturn, the possibilities become endless. So dive in, start building, and let the exciting journey of travel planning begin!