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How I Built a Smart AI Travel Agent with LangChain, Python, and Google Maps
A deep dive into creating a multi-tool agent that uses web search, Google Maps, and conditional logic to understand user intent, create custom itineraries with interactive maps.
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AI Agents now work for us in the background of many chatbots we use. Think back to the early days of ChatGPT. It only answered questions based on the data it was trained on, and when asked for current information, it said the training data was up to 2021. Now, it can bring us articles and summarize new topics using web search. AI Agents are behind these and many other features.
In this project, we will create our own Travel Chatbot using AI Agents. When we tell this chatbot we want to visit, it will research its famous dishes and suggest restaurants and attractions on the map. It will also make recommendations when we want to plan a budget-friendly vacation.
My goal in developing this project wasn’t just a coding exercise, but also to create a tool I would actually want to use in my own travels.
