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Zebra Fish Analysis for Predicting Mating Behaviour
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Developed a system for automated zebrafish behavior detection using computer vision and machine learning. This project streamlines behavior analysis, reduces observer bias, and enables large-scale studies, benefiting neuroscience, drug testing, and reproductive biology. This project was recognized at uOttawa Design Day, where we won Best Graduate Project in Fall 2024
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