The Anthropocene Institute is an organization based in California, whose goal is to solve the climate crisis by 2030. They promote education about the climate, connect experts with entrepreneurs and policymakers, and invest in technologies to make the Earth abundant and sustainable for future generations.

Removing excess carbon dioxide from the atmosphere is a crucial part of solving the climate crisis. Consequently, our client is partnering with the Grandparents Fund for Climate Restoration to design an ocean iron fertilization experiment. The experiment involves dispersing iron in the water to stimulate phytoplankton growth which sequesters carbon. Plankton growth is monitored by sensors mounted on ocean buoys. Usage of these sensors can be very expensive, so it is imperative that sensor locations are optimized to provide maximum ocean coverage with minimal cost.

Our Ocean Carbon Pollution Cleanup software models various buoy configurations to compare their effectiveness. Our software gives suggestions about how many sensors are required and which sensor layouts are best for recording adequate data during the experiment without going over budget.

Most existing datasets only contain a single buoy, which poses a problem for our system. To model multiple buoys from this data, older compatible datasets are combined and newer datasets are extrapolated using complex statistical methods to get estimated sensor readings for the entire experimental area.

Our software highlights the benefits of this carbon sequestration technique by visualizing the positive experimental outcomes.

The software features an appealing user interface built with the React framework. It connects to a FastAPI back end that retrieves data from a PostgreSQL database. This data is used to generate buoy configurations and create descriptive visualizations using Chart.js.