TripMind

High-level trip summary showing duration, destination, and total estimated cost.
Detailed flight options with pricing, airline info, and booking links.
Visual breakdown of expenses across flights, lodging, food, and activities.
Daily itinerary view featuring scheduled activities and hotel locations.
A sleek travel planning interface for selecting baggage, transport priority, and flight options.
An intuitive AI-powered landing page for personalized trip planning and itinerary generation.

Planning a trip involves many complexities, from finding cost-efficient, well-timed flights to deciding which places to visit. As students who are not local to San Diego and often travel home during breaks, we frequently face these challenges. Since we enjoy traveling, we decided to create a platform to simplify the process. This project was our first experience working with Browser-Use AI and its API. We chose it because of its powerful ability to search the web and access external data sources. We began by summarizing the general demand for our platform and outlining potential features. We also created a blueprint for the user interface. Next, we developed the front end using CSS, successfully implementing the interface from the main page to the results page. We then integrated the Browser-Use API on the backend to fetch real-time data from the web. Finally, we designed the trip planning page, which displays different categories and suggested itineraries. Customers can select their preferred route and book tickets directly through the provided links. One challenge we encountered was the slower-than-expected performance of Browser-Use AI, due to the time required to search multiple websites. To address this, we allow customers to specify the number of flight options, reducing the AI’s workload and improving response times.