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title: README
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  <p><small><strong>HULA EARTH&nbsp;&nbsp; / &nbsp;&nbsp;APPLIED AI FOR NATURE</strong></small></p>
  <h1>🌿 Hula Earth</h1>
  <h3>Where nature speaks — and data delivers.</h3>
  <p><strong>Making biodiversity measurable with AI.</strong></p>
  <p>From wildlife sounds recorded in the field to signals observed from space, we combine<br>
  <strong>environmental sensing, Earth observation and machine learning</strong><br>
  to make ecological change easier to understand.</p>
  <p><a href="https://huggingface.co/spaces/HulaEarth/ai-for-nature-hula-earth"><strong>Explore AI for Nature ↗</strong></a>
  &nbsp;&nbsp;·&nbsp;&nbsp; <a href="https://hula.earth/"><strong>Meet Hula Earth ↗</strong></a></p>
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## Nature intelligence, from ground to orbit

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  <tbody>
    <tr>
      <td align="center" width="64">🎙️</td>
      <td><strong>Listen to ecosystems</strong> · Autonomous BioT sensors and AI-powered species detection help turn wildlife activity into ecological signals.</td>
    </tr>
    <tr>
      <td align="center">🛰️</td>
      <td><strong>See the wider landscape</strong> · Earth-observation data adds context on habitats, vegetation and environmental change.</td>
    </tr>
    <tr>
      <td align="center">🌱</td>
      <td><strong>Turn evidence into insight</strong> · Hula brings on-site and satellite information together to support biodiversity monitoring and better decisions.</td>
    </tr>
  </tbody>
</table>

## Featured on Hugging Face

> **🐦 AI FOR NATURE 2026 · FEATURED SPACE**
>
> ### Can AI help us better understand where birds thrive?
>
> An applied machine-learning challenge using bird observations and satellite-derived environmental features to explore bird habitat suitability.
>
> **24 October 2026 · 10:00 CEST (Europe/Berlin)**  
> Participant materials and the challenge Space are scheduled to open at **10:00**. The challenge page may be private until that time.
>
> **[Explore the AI for Nature challenge →](https://huggingface.co/spaces/HulaEarth/ai-for-nature-hula-earth)**

## Our approach

We believe useful AI for nature starts with reliable measurements, transparent methods and a clear understanding of uncertainty. This profile highlights **selected** public projects and collaborations—not every internal model or dataset we work with.

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  <p><small><strong>Technology for a measurable, living world.</strong><br>
  Learn more at <a href="https://hula.earth/"><strong>hula.earth ↗</strong></a></small></p>
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