@matt_tso179

We made an AI Trip Planner that takes in a city a user wants to visit, and create an itinerary with time for some attractions in the city. AITripz gives them some extra information such as weather, cultural tips, hotel options, and where to eat. We used LangChain to prompt LLM and chat models, and enrich with info from Google Map API. To make this interactive, it is a Streamlit web application. The goal is to lessen the burden of information gathering, processing, and accumulation so that they could have a lot of these information on hand to customize if necessary, or just follow the itinerary exactly if they wish.

🗓️ 48-hour AI Challenge - Build your own AI agent or agent simulation over the weekend 🦜 Power up your coding with the LangChain framework! 🤝 Connect with potential co-founders and mentors at the event