BOAT(Buoy Ocean Acidification Treatment)

Inspiration

We were inspired by learning about ocean acidification in our biology class and the power of artificial intelligence in many scientific fields. We wanted to use our knowledge and skillsets to combine both ideas and create something new to help fight climate change.

What it does

The code that we made takes data from oceans, and AI combines that data with existing knowledge of the oceans' ecosystems to formulate a plan on how to treat those oceans and reduce ocean acidification. The AI mainly finds how much limestone is needed to be put back into the ocean to help reduce the amount of carbon in it.

How we built it

We used Flask as a framework, along with HTML, CSS for styling, and JavaScript to create a website that performs the function above using user input. The site uses an OpenAI API, specifically using the model "4o mini".

Challenges we ran into

We ran into challenges with styling and making sure we were supplying the AI with perfect prompts. Surprisingly, we learned a lot about the math and science behind the AI's calculations and ocean acidification while fixing the issues. My team and I are now much more interested in learning about ocean acidification and climate change in general!

Accomplishments that we're proud of

Our team was on-task all the time whenever we were working. We are proud of our collaboration and teamwork. We are more than satisfied with the research we did and the ideas we came up with together.

What we learned

We learned that hackathons require a lot of time management. Most of us have never done any hackathons until this one, and looking back on it, we think that we seriously could have managed our time better to create a better project.