Inspiration

With carbon emission increasing we wanted to create awareness for our aquatic life, specifically the coral reefs as they provide an important ecosystem for life underwater, protect coastal areas by reducing the power of waves hitting the coast, and provide a source of income for people living near coastal areas.

What it does

It recognizes coral reefs, and analyzes their health based on visual inputs. The project mainly focuses on the color and visual ques on a given coral reef to determine the health of it. The whiter they get the closer they are to dying away.

How we built it

We utilized YOLOv5 model and trained the model on an per-existing dataset. We also created a small website to show other various information related to coral reefs.

Challenges we ran into

Main issue was deciding on the final goal of this project, we didn't want the project to be over ambitious and could our perception of what this project should perform like.

Accomplishments that we're proud of

The future awareness we will create through this project is what we will be proud of.

What we learned

We had to explore further into the life conditions of coral reefs to properly implement what the website information should contain and also what the model should learn.

What's next for Reef Guard

There will be further diving needed to make this a more rounded project.

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