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Drone Sniffer

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Samuel Li

Project Timeline

Nov 2025 - Nov-2025

OVERVIEW

An AI model trained to identify and classify drones based on audio characteristics (single day project).

HighlightS

November 15 Morning: first draft of AI code, built with python AI and random forest

November 15 Noon: Training of AI using drone audio files and various other audio files to help Drone Sniffer differentiate and group drone sounds and exclulde non-drone sounds, like planes, helicopters, vehicles, or shooting.

November 15 Evening: Further AI training and presentation

November 15 Late Evening: Presenting final project (won 4th place out of 87 teams)

SKILLS

Python / Python AIRadio Frequency Engineering & PhysicsMachine Learning

External Links

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Questions?
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Samuel Li

EECS at uOttawa| Electrical Lead at Formula uOttawa| Vice Chair at IEEE uOttawa

Electrical Engineering student at University of Ottawa with hands-on experience in power systems, hardware-software integration, and embedded systems design. Currently leading electrical architecture for Formula SAE vehicle platform and serving as Vice-Chair of IEEE uOttawa. Proficient in oscilloscope analysis, ECU calibration, wiring harness design, and cross-functional project coordination. Fluent in English and Mandarin with conversational French.