Swimly

🌊 Swimly – Smarter Choices for Ocean Activities

💎 Idea

Coastal travelers and swimmers often rely on random online reviews and static maps that ignore real-time sea conditions and environmental sustainability. Many beaches suffer from over-tourism and poor water quality, while travelers want safe, quiet, and beautiful ocean experiences.

Swimly solves this with an AI-powered app that turns EU Space Data into personal, sustainable travel advice.

Each location also includes an AI-generated summary explaining why it’s ideal

Problem：

Beachgoers and ocean travelers often rely on reviews or photos that say nothing about current water conditions. They need to know:– Is the water temperature comfortable?– Are waves safe today?– Is the water clear or full of algae?

This information exists in satellite and marine datasets — but it’s not easy for ordinary users to interpret.

What we built Swimly is a lightweight mobile app that turns marine and environmental data into simple, real-time guidance for ocean lovers.

• Users select their activity (Surfing, Swimming, Snorkeling, Family Outing, or Sunset Photography).

• They set a location radius on a map (e.g., 23 km around Mira or Venice).

• Swimly recommends nearby beaches and water spots ranked by current conditions.

• Each location page includes an AI-generated summary and live ocean condition indicators:

  • Water Temperature

  • Wave Height

  • Water Clarity (%)

  • Algae Level (%)

  • Jellyfish Risk (%)

Every card clearly shows whether conditions are Excellent, Good, or Poor.At the bottom, data sources are credited: Open-Meteo Marine API (Copernicus / NOAA-derived datasets).

Different ocean activities require different environmental conditions, so Swimly uses custom scoring models powered by satellite and marine indicators:

• Surfing: prefers higher waves, stronger wind, and sandy beaches — based on Copernicus Marine wave height and wind speed layers.

• Swimming: prioritizes low wave height, warm temperature, and clear water — from sea surface temperature (SST) and chlorophyll concentration data (as a proxy for algae).

• Snorkeling: uses water clarity, low algae level, and low jellyfish risk, derived from Sentinel-3 ocean colour and CMEMS biological parameters.

• Sunset photography and family outings: favour low crowding, accessible shorelines, and scenic clarity — supported by Sentinel-2 coastal imagery and local environmental indicators.

Our goal: translate complex marine data into “Can I go today, and where’s best right now?” — while also encouraging users to explore eco-friendly and less-crowded destinations, reducing pressure on fragile coasts.

🛰️ EU Space Technologies

Swimly uses Open-Meteo Marine API, which integrates variables derived from the Copernicus Marine Environment Monitoring Service (CMEMS) and other open satellite-based models (e.g., sea surface temperature, wave height, and wind-driven ocean state).

By combining Copernicus data + Galileo positioning + AI analysis, Swimly turns raw satellite signals into human-friendly recommendations—guiding people to places that are good for them and for the planet.

🚀 EU Space for Consumer Experience Challenge

We address “Beyond Horizons – Redefining Travel with Space Innovation.”Swimly redefines the consumer experience by blending space data, AI, and sustainability to:

• Deliver personalized, real-time ocean recommendations based on space data.

• Promote responsible tourism by directing users to low-impact, less-crowded sites.

It transforms EU space assets into a daily lifestyle tool for smarter and greener ocean adventures.

🤼 Team

Tianzhi Yang, Ph.D. in Pure Mathematics (Algebraic Geometry). Project responsibilities include algorithm improvement and optimization, along with conducting market analysis and research.

Qiang Ma, Data Engineer and Full-Stack Developer, responsible for maintaining and operating the project’s web infrastructure and leading development tasks.

Huang Yang, Graduate Student in Artificial Intelligence at the University of Pisa and Machine Learning Architect, responsible for advanced algorithmic refinement and optimization in later project stages.

Together we transform EU space data into a friendly companion for ocean travel decisions.