Analyzing the Efficacy of Utilizing Machine Learning Models to Predict Daily Hammerhead Habitat Preferences

Overview

For 50 years, Great Hammerhead populations have been declining. These are vital keystone species in our oceans; They help control sick fish populations and maintain ecosystem balance. As these species have died off, humans have lost millions in economic services due to a lack of fishing and tourism. However, properly managed marine protected areas (MPAs) that are fluid and dynamic, changing on a day-to-day basis, could be what helps protect these vital species. This project found that, even with small amounts of publicly available data, it was entirely feasible to model the day-to-day habits of Great Hammerhead Sharks, proving that fluid-dynamic protected areas will be a vital step forward to protect this, and other, endangered species

Competition history

• CSEF 2026 Environmental Engineering (Senior Division) · Entry S-11-34

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