# Projects

During hackweeks we invite participants to collaborate in small group project teams (usually 5-7 people). Projects provide unique opportunities for networking, advancing research and learning new things.

```{image} ../img/projects-montage.png
:alt: picture of people interacting during hackweek project work
:class: bg-primary mb-1
:width: 700px
:align: center
```

You can find our comprehensive guide for organizing projects before, during, and after a hackweek in our [Hackweek Guidebook](https://guidebook.hackweek.io/training/projects/index.html). Below you'll find a table keeping track of all project work done during this event:

## List of Projects

Here is our current list of project for our {{dates}} {{ hackweek }}:

| Project Name (with link to GitHub repo) | Short Description | Project Lead(s) |
|:--------|:--------|:-----|
| [Mind The Chl Gap](https://github.com/geo-smart/mind-the-chl-gap) | Neural network models for Chloraphyll-a gap-filling for remote-sensing products | Shridhar Sinha & Eli Holmes |
| [Production-oriented SWE Forecasting](https://github.com/geo-smart/swe_forecasting_prod) | Developing a robust and scalable workflow for predicting snow water equivalent in the context of the western United States | Ziheng Sun |
| [Multi-target Gaussian Process Regression for 3D Mapping](https://github.com/geo-smart/mind-the-chl-gap) |  Developing a multi-target Gaussian Process Regression (GPR) model to predict engineering soil classification and soil layering in three dimensions | Morgan Sanger |
| [Crunchy Snow](https://github.com/geo-smart/crunchy-snow) | Machine learning models for Sentinel-1 SAR backscatter snow depth retrieval | Quinn Brencher |