Otter Disaster

Idea
Water pollution kills silently. Toxic blooms, industrial discharge, and chemical contamination build for days before anyone notices - by then, the damage is done. Governments lack the infrastructure to monitor every river, lake, and tributary continuously, and professional monitoring stations cost €10,000-100,000 each.

OtterWare is an early warning station that fuses real-time Arduino sensor data with Copernicus satellite intelligence into a machine learning model that detects and classifies types of water pollution, before they become emergencies. 

EU Space Technologies

OtterWare is built on 4 years of real Copernicus satellite observations of water bodies worldwide, accessed via OpenEO. We use Sentinel-2 and Sentinel-3 multispectral data to extract cyanobacteria index, chlorophyll-a, and NDTI turbidity, computing rolling z-scores that detect developing blooms 3–7 days before they become dangerous - something a ground sensor alone can never do. Copernicus is not an enhancement, it is the primary context layer of our model, contributing approximately 50% of ML signal. Galileo precision positioning is on our roadmap for multi-site network mapping.

EU Space for Water

Challenge 2: Tracking and preventing water pollution

OtterWare directly addresses Challenge 2 by monitoring pollution continuously, tracking contamination sources and enabling timely community intervention. Our Copernicus backbone covers entire water bodies at catchment scale while our Arduino sensor captures point-source discharge that satellites cannot see. Together they produce verified, real-time water quality intelligence at 1–10% of the cost of traditional infrastructure, making continuous monitoring accessible to schools, NGOs and communities across Europe who currently have no system watching their water.

Team 

Stanislav Pachukov - Data Infrastructure Lead & Business
A computer science student with a passion for data analysis and machine learning. His previous experience working in the NGO sector and corporate events lead to him leading the business aspect.

Olgica Jordanova - IoT Systems Engineer

An electrical engineering student with a passion for Arduino projects and sensor programming and callibration, with previous NGO and corporate experience, leading to help with the business aspect.

Mario Vanchoski - Chemical Analysis Lead
A chemical engineering student with previous Olympiad experience, for a theme like this it's crucial to have someone lead the intricate aspects of the projects. He's leading the chemical analysis part of the project.

Filip Stojanovski - IoT Systems Engineer

An electrical engineering student with a passion for computer programming and previous Arduino experience, which is why he's contributing to the IoT aspect.

Ermal Baki - Fullstack Developer

A computer science student with a passion for fullstack development and system architecture. His previous experience leads to him taking part of both the backend and frontend development of the project.

Ivana Minova - Frontend Developer

A computer science student with a passion for UX/UI design, which is why she's contributing to the web application creation process.

Mila Bozhinoska - Frontend Developer & Design

A computer science student with a passion for graphic design and frontend development, which is why she's contributing to the web application design and creation process. 

Marija Stojanovska - IoT Systems Engineer

An electrical engineering student with a passion for computer science, programming and previous Arduino experience, which is why she's contributing to the IoT aspect.