Animal Sciences

Use BirdNET and satellite imagery to measure park soundscape biodiversity, compare habitats, and build a strong ecology dataset.

Study how traffic, construction, and crowd noise change songbird pitch, then turn free recordings into a data-rich ecology project.

Build a regression model that predicts feed-conversion gains from amino-acid profiles, and learn how to turn poultry trial tables into numbers.

Build a simple heart rhythm model, fit it to public animal ECG records, and learn how to compare simulated spikes with real signals.

Use protein-language-model embeddings to compare olfactory receptor families across species and build a clear adaptation signal with bioinformatics.

Measure microplastic ingestion in earthworms or snails, compare local sites, and practice contamination control, microscopy, and data analysis.

Learn to compare mulch color and composition by measuring earthworm density, soil mixing, and moisture in raised beds with repeat plots.

Model how sensory loss changes fish-school cohesion and turn public zebrafish tracks into a testable simulation project.

Measure how sodium benzoate and potassium sorbate change yeast growth, then turn smartphone turbidity photos into dose-response curves.

Analyze ancient DNA data to trace megafauna population crashes and build skills in phylogenetics, dating, and climate-linked trend analysis.