WaveFinder

Designing a comprehensive AI-backed interface to create an effective surf travel recommendations website
Challenge

How might we plan the perfect surf trip?

Surfers often don't know where to start when it comes to the research-heavy challenge of figuring out where and when to travel to a new surf spot, often running the risk of disappointment when they invest time and money into travel only to miss optimal wave conditions.

Process

Data visualization + user flows

Designed a comprehensive interface combining real-time oceanographic data, AI prediction algorithms, and user-generated reports to create an effective surf travel recommendations website that visualizes data to recommend travel decisions. Inspiration was drawn from commonly used surfing platforms such as Surfline, which has a familiar, trust-building UI for surfers who already use the app daily.

Results

A comprehensive AI-backed interface

Designed the complete user experience for a surf discovery and booking platform, including interactive map interface, personalized recommendation displays, and streamlined booking flows for travel plans and accommodations.

Focused on creating intuitive user journeys from research to bookings.

Project currently in beta testing.