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BIOACOUSTICS · functional prototype

Project Tusk

elephant vocalization noise-removal and research platform.

Role
hackathon winner · hacksmu '26
Tools
TypeScript · Python · Audio DSP · React · FastAPI
Public artifacts
4

What I built

winner at hacksmu '26. an audio processing and research platform for elephant vocalizations. applies custom noise-removal pipelines to isolate infrasound elephant calls from field recordings, then provides a web interface for researchers to annotate, analyze, and export cleaned datasets for conservation research.

the mission

helping researchers hear what matters.

elephant infrasound communication is critical to conservation research, but field recordings are dominated by wind, rain, and human noise. project tusk applies targeted dsp pipelines tuned to the 14–35 hz infrasound range to strip noise without degrading the signal researchers care about.

  • Noise reduction pipeline tuned to elephant infrasound (14–35 Hz)
  • Batch processing for large field recording archives
  • Researcher annotation interface for labeling and export

impact

winner at hacksmu '26.

selected as a winning project at hacksmu '26 for demonstrating a practical application of signal processing to a real conservation problem. the platform was built end-to-end in 24 hours by a small team.

  • HackSMU '26 winner
  • Full-stack: audio pipeline + web interface
  • Built for real conservation research workflows

Artifacts and limits

Project images and measurements are shown as project-produced material, not independent validation.

Elephant recording before cleanup
Input spectrogram
Elephant recording after cleanup
Output from the project noise-reduction pipeline

functional prototype

Last content review: July 2026. Scope is limited to the material linked on this page.

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