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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 ...
SPL04: Create a Local Marine Biodiversity Snapshot
Work with students or participants to document current marine species (especially fish, squid, and crabs) found in our local waters. Identify invasive species (like blue crab or alien squid) and ...
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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