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All challenges

Here is the list of challenges in every city.
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BRE14: Recharge Your Beach! Mapping to Anticipate
Over the 48 hours, we aim to develop a prototype that combines an algorithm, a map interface, and a database to detect and visualize beach nourishment operations. The algorithm will analyze satellite...
BRE15: Aquastruct!
A basic yet interactive user interface coupled with an API, which can take in selected underwater images together and output a 3D reconstruction of the asset.
CAD02: SALTWATCH
Geographical Information System
CAP02: LoCo for Ocean Impact!
A visual interface or dashboard that shows ROV sensor data meaningfully (e.g., map overlays, time graphs, alerts)
KUL08: Sea-Ya Trash

Kuala Lumpur

Over the 48 hours, we aim to develop a real-time, interactive web dashboard that connects with our AI-powered floating Seabin prototype. The platform will visualize trash detection results, sensor ...
PEN05: Let's improve aquaculture in Portugal?
Develop a mobile application


- To respond to a major social or environmental problem
- To learn and develop my skills through collaborative experience
- Contributing to innovation in the ...
PTN01: Whale Tail Identifier
Develop an application that uses images or sensor data to accurately identify and analyze whale tails, supporting research and conservation efforts.
PTN02: Plastic and Net Debris Locator
Create engaging digital experiences—such as mobile apps or interactive games—that raise public awareness about ocean preservation and inspire sustainable behavior.
PTN03: Low-Cost Sensor Monitoring
Design a cost-effective monitoring solution that integrates sensor data for community-based science projects. This tool should help researchers and citizens alike gather and analyze environmental ...
SAL06: Beach Benefit: Marketing for Cleaner Shores
We aim to develop a digital interactive tool that combines beach cleaning with brand engagement. The project will involve a network of branded collection nets placed on beaches, where each net is ...
TOU08: DeepSight
A predictive model that can avoid seasonal collisions while minimizing carrier costs
VIC01: What's that ship?
Develop an AI/ML driven application to classify ships based on a training dataset of hydrophone recordings with four different identified types of ships (tug, cargo, tanker, passenger). Train this ...
VIC02: Ocean Acidification Prediction Model
Develop a simple model to predict very low pH at 40m depth, based on a time series of related and co-located variables: CO2, temperature, salinity, density, oxygen, and various weather conditions. ...
VIC03: Image Analysis of Boat Traffic
An AI/ML system that can detect and quantify boat traffic from thousands of still images captured every 5 minutes by a shore camera. This kind of quantitative analysis could be of great interest to ...
VIC04: Surface Current Drivers in the Strait of Georgia
An AI/ML system that can categorize plots of surface currents (measured by a coastal radar array) into 3 dominant modes, which we hypothesize to be mostly influenced by tides, river flow and ...
Campus mondial de la mer
Technopôle Brest-Iroise
525, Avenue Alexis de Rochon
29280 Plouzané
Contactez-nous
#allerloin
  • Brest Métropole
  • Région Bretagne
  • https://www.tech-brest-iroise.fr/
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