Building a Travel Itinerary Website with ChatGPT

Unless you‘ve been living under a rock, you‘ve probably heard of ChatGPT by now. This powerful AI chatbot from OpenAI has taken the world by storm with its incredibly convincing and human-like conversational abilities. But ChatGPT isn‘t just for chit-chat – it also has remarkable capabilities when it comes to writing code.

As someone with ideas for apps and websites but only basic programming skills myself, I was curious to see if ChatGPT could help me quickly bring a project idea to life. My goal was to create a simple website that displays a map of the world and allows you to click on a country to generate a suggested 7-day travel itinerary for that destination, powered by ChatGPT.

In this article, I‘ll share my experience using ChatGPT to rapidly prototype this travel itinerary generator. I‘ll discuss the process I went through, the challenges I ran into, and reflect on the potential for AI tools like ChatGPT to democratize technology development. Let‘s dive in!

The Power of ChatGPT for Rapid Prototyping

One of the most incredible things about ChatGPT is its ability to generate working code based on natural language descriptions. You can simply explain what you want your program to do in plain English, and ChatGPT will spit out remarkably good first-attempt code in response.

This is an absolute game-changer for people like myself who may have an idea for an app or website but lack the coding skills to build it from scratch. With ChatGPT, you can focus on the vision and let the AI handle the nitty gritty of the actual programming. It allows you to rapidly prototype your ideas and see them come to life without getting bogged down in syntax errors and debugging.

That‘s not to say the ChatGPT-generated code will be perfect or production-ready out of the box. It often requires some manual debugging and refinement. And you still need a basic understanding of the underlying technologies and languages to know how to effectively prompt ChatGPT and integrate the pieces.

But it drastically lowers the barrier to entry and allows you to stand up a minimum viable product in a matter of hours or days instead of weeks or months. You can quickly see your idea materialize in front of you and start collecting user feedback, which is invaluable for determining if you‘re on the right track.

For my travel itinerary generator, I knew I wanted three core components:

1. An interactive map of the world that lets you select countries
2. Integration with the ChatGPT/OpenAI API to generate itineraries on demand
3. A nice way to display the AI-generated travel plans to the user

With this high-level spec in mind, I prompted ChatGPT to start generating some code and seeing what we could come up with.

Navigating the World with ChatGPT

The first step was to generate an interactive world map that would serve as the main interface for the travel planner. I didn‘t have a strong preference for the underlying mapping technology, so I simply asked ChatGPT:

write code for a website that shows a clickable political map of the world

ChatGPT came back with a surprisingly comprehensive code snippet using a library called jVectorMap. It included HTML for the page structure, CSS for styling, and JavaScript for initializing the map and handling the country click events.

I excitedly copied this code into my code editor and fired up a local server to take a look. But to my dismay, I was greeted with a completely blank page. Clearly something wasn‘t right.

I tried prompting ChatGPT with a few variations like "write code for a website that shows a clickable political map of the world without using jQuery Vector Map" to see if a different approach would work better. But after a few unsuccessful attempts, I realized I would need to roll up my sleeves and dig into the generated code to figure out what was going on.

Examining the JavaScript, I noticed that the map was being loaded from a URL that returned GeoJSON data without any country names. Since my goal was to pass the selected country name to the ChatGPT API, I needed a map file that included this information.

After a bit of Googling, I was able to find a more suitable GeoJSON file URL that contained country names and IDs. I manually updated the JavaScript to point to this new file, and voila! My map of the world appeared in all its glory.

With a bit more prompting and manual tweaking, I was able to get the country hover and click interactions working properly. Clicking a country would spawn a JavaScript alert with the name of the selected country. We were in business!

Integrating with the OpenAI API

Now that I had a functional world map, the next step was to hook it up to the ChatGPT API so I could generate travel itineraries on the fly. I had a general idea of how this should work:

1. Capture the name of the country that was clicked
2. Pass this name to the OpenAI API and prompt ChatGPT to generate a 7-day itinerary
3. Display the generated itinerary to the user

But having never worked with the OpenAI API before, I wasn‘t quite sure where to start. So I once again turned to my trusty AI pair programmer:

How can I call the ChatGPT API from within this webpage?

ChatGPT gave me a great overview of the process, explaining how to make an HTTP POST request to the OpenAI API endpoint with my API key and the desired prompt. It even provided a code snippet demonstrating how to do this using vanilla JavaScript and the built-in fetch function.

However, when I tried to implement this, I got an error message saying my API key was invalid. After a bit of head scratching, I realized I needed to add a payment method to my OpenAI account before I could make API requests. Fortunately, OpenAI provides a free trial with $18 of credit, which was more than enough for my prototype.

With my API key sorted out, I was able to successfully prompt ChatGPT and get back generated travel itineraries. But I quickly ran into another snag. My responses were getting cut off after about 100 words, even though I had requested a full 7 days worth of activities.

After some experimentation and research, I discovered that I needed to tweak the API parameters to increase the maximum response length. Specifically, I set the max_tokens parameter to 2000 to give ChatGPT enough room to generate a complete itinerary.

Finally, I had all the pieces in place. I could click a country on my map, prompt ChatGPT to generate an itinerary, and display the results to the user. The generated travel plans were hit or miss in terms of quality and feasibility, but I was honestly impressed by how coherent and well-structured they were for being purely AI-generated.

For example, here‘s the itinerary ChatGPT generated for a trip to Japan:

Day 1: Arrive in Tokyo and check into your hotel. Spend the day exploring the vibrant Shibuya and Harajuku districts, known for their trendy shops, colorful fashion, and bustling crowds. Visit the famous Meiji Shrine and take a stroll through Yoyogi Park.

Day 2: Take a day trip to the historic city of Kamakura, about an hour south of Tokyo. Visit the Great Buddha of Kamakura, a massive bronze statue dating back to the 13th century. Explore the many temples and shrines scattered throughout the city, such as the Hasedera Temple and the Tsurugaoka Hachimangu Shrine.

Day 3: Return to Tokyo and visit the Tokyo Imperial Palace, the primary residence of the Emperor of Japan. Stroll through the palace‘s beautiful East Gardens and admire the traditional Japanese architecture. In the afternoon, explore the trendy Roppongi district and visit the Mori Art Museum for a dose of contemporary art.

Day 4: Take a bullet train to Kyoto, Japan‘s ancient capital and cultural heart. Visit the stunning Kinkaku-ji (Golden Pavilion), a Zen temple with a gold-leaf-covered pavilion set amid beautiful gardens. Explore the historic Gion district, known for its traditional wooden machiya houses and geisha culture.

Day 5: Continue exploring Kyoto with visits to the Fushimi Inari Shrine, famous for its thousands of bright orange torii gates, and the Arashiyama Bamboo Grove, a serene forest of towering bamboo stalks. In the evening, indulge in a traditional kaiseki meal, a multi-course dinner featuring seasonal ingredients and artistic presentation.

Day 6: Take a day trip to Nara, a charming city known for its many historic temples and friendly deer that roam freely through Nara Park. Visit the Todaiji Temple, home to the world‘s largest bronze Buddha statue, and the Kasuga Taisha Shrine, a Shinto shrine famous for its many bronze lanterns.

Day 7: Return to Tokyo for your final day in Japan. Visit the Tokyo Skytree, the tallest tower in the world, for breathtaking views of the city skyline. Do some last-minute shopping in the Ginza district, known for its upscale boutiques and department stores. Enjoy a farewell dinner of authentic sushi or ramen before preparing for your departure.

Not bad for a computer-generated travel plan!

Reflections and Future Potential

Overall, I was impressed by how quickly and easily I was able to create a functional travel itinerary generator using ChatGPT. The entire process took just a few hours spread over a couple days, and the vast majority of that time was spent researching APIs and debugging rather than writing code from scratch.

There were certainly some hiccups and limitations along the way. The generated code wasn‘t perfect and required manual inspection and tweaking to get working. The integration with the OpenAI API took some trial and error to figure out. And of course, the AI-generated travel itineraries, while impressive, were still hit or miss in terms of quality and feasibility.

But the key takeaway for me was the incredible potential for AI tools like ChatGPT to democratize technology development and lower the barriers to turning ideas into reality. With ChatGPT, you don‘t need to be an experienced programmer to build something cool and functional. You just need a vision and a bit of persistence to see it through.

I‘m excited to see how tools like ChatGPT continue to evolve and the new kinds of applications and experiences they enable. I believe we‘re just scratching the surface of what‘s possible when human creativity is combined with AI-assisted development.

At the same time, I don‘t think AI will replace human programmers anytime soon. There‘s still a vital need for skilled software engineers to architect systems, connect different services and APIs, and refine the user experience. But I do think AI will increasingly act as a force multiplier for developers and allow small teams or even individuals to build increasingly sophisticated applications.

It will be interesting to see how this plays out and what new innovations emerge as more people experiment with AI pair programming. I encourage you to give it a try yourself and see what you can create. The possibilities are endless!