> ## Documentation Index
> Fetch the complete documentation index at: https://oceanpulse.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# OceanPulse

> Connecting Illegal Fishing Detection with Marine Ecosystem Impact

# OceanPulse: Connecting Illegal Fishing Detection with Marine Ecosystem Impact

## 🌊 Hackathon Overview (36-Hour Implementation)

OceanPulse is a sustainable technology solution that detects illegal fishing activities and correlates them with fish migration patterns to provide a comprehensive understanding of marine ecosystem impacts. This project builds upon concepts like ShipSense but adds a critical ecological dimension.

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## ❗ The Problem

Illegal fishing threatens global marine ecosystems, with approximately 20% of all fish caught illegally. Traditional monitoring fails to connect vessel detection with ecological impact, creating an incomplete picture for conservation efforts.

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## 💡 Core Solution (36-Hour Implementation)

We will develop:

1. **Ship Detection Module**\
   A neural network that identifies fishing vessels in satellite imagery and analyzes suspicious "dark vessel" behavior

2. **Fish Migration Correlation**\
   An analysis engine that connects detected fishing activities to known fish migration routes and population data

3. **Interactive Dashboard**\
   A visualization platform that displays both vessel activities and ecological impacts in an integrated map interface

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## 🧭 Key Datasets

* [MarineCadastre Vessel Traffic](http://hub.marinecadastre.gov/pages/vesseltraffic)
* [OBIS Marine Species Access](https://obis.org/data/access/)

### 🛰️ Ship Detection Datasets

* **Global Fishing Watch**: AIS tracking for 60,000+ fishing vessels
* **Dark Vessel Dataset**: 55,000+ AIS gap records from ShipSense

### 🐟 Fish Migration Datasets

* **GBIF Marine Data**: Species occurrence data
* **NOAA Fisheries**: Commercial fish stock + migration data
* **OBIS Biodiversity**: Ocean species distribution

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