SpaceRover - Aqua Sentinel

We track Lake Ohrid pollution using IoT sensors and satellite data. When detected, autonomous boats collect samples for shore-side labs, streamlining reporting to inspectorates for swift action.

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  • North Macedonia

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  • Challenge #2: Tracking and preventing water pollution​

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💎 Idea

The Problem: Lake Ohrid, a UNESCO World Heritage site, faces increasing "silent" pollution. Traditional monitoring is often stationary or infrequent, meaning by the time a pollutant is detected manually, the source has vanished or the damage is irreversible.

The Solution: We are building an end-to-end response system.

  1. Detection: A network of IoT sensor buoys combined with satellite monitoring creates a real-time "heat map" of water quality.

  2. Response: When a spike is detected, an automated boat is dispatched to the exact coordinates to pull a physical sample.

  3. Accountability: Samples are delivered to shore-side labs. Our platform bridges the gap between scientific findings and legal action, allowing institutes to upload reports that are automatically routed to environmental inspectorates for enforcement.

🛰️ EU Space technologies

We utilize Copernicus Sentinel-2 and Sentinel-3 data to monitor parameters like chlorophyll-a concentration, turbidity, and surface temperature.

  • Value: These signals provide the "macro" view, allowing us to identify large-scale plumes or thermal changes that a single sensor might miss. By cross-referencing satellite data with our IoT ground truth, we eliminate false positives before deploying the collection boat, significantly reducing operational costs.

💧 EU Space for Water

We are tackling Challenge #2: Tracking and preventing water pollution. Our project protects water resources by shortening the "detection-to-sanction" window. By providing inspectorates with immutable lab reports linked to specific time/location data, we create a deterrent for illegal dumping and enable rapid mitigation of agricultural runoff, ensuring the long-term ecological health of Lake Ohrid.

🤼 Team

Ekaterina Ristevska: A Software Engineering student at FINKI specializing in machine learning and data science.

Kiril Veljanoski: A Software Engineering student at FINKI interested in bioinformatics and electronics.

Hristijan Gajdov: A Software Engineering student at FINKI focused on software architecture and machine learning.

Mihail Nikolovski: А Law student with an interest in technology law and regulatory aspects of data and innovation.

Stefan Pancevski: An Economics student with an interest in financial analysis, business strategy, and the economic impact of emerging technologies. 

Source code: https://github.com/h-gajdov/aqua-sentinel

URL to demo app: https://react-frontend-production-90ea.up.railway.app

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