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The Bird Finder

Project Description:

As Baltimore continues to urbanize, monitoring and preserving its biodiversity is critical. This project proposes a scalable, automated system for bird population monitoring using passive acoustic sensing. Compact, low-power devices will be deployed to continuously capture bird chirps. Each unit features a microphone, microcontroller for real-time audio processing, GPS for location tagging, and wireless communication for data transmission. Onboard algorithms will classify bird species by their vocalizations and log activity patterns over time. Aggregated data will reveal trends in species distribution, vocalization frequency, and long-term population changes.

Project Photo:

Northern Cardinal was used as the bird of interest for this project

Northern Cardinal was used as the bird of interest for this project

Student Team Members

Lasse Heinrich Rommelfangen
Ababakar Okieh
Mansi Shah

Course Faculty

Andreas Andreou

Project Mentors, Sponsors, and Partners

Johns Hopkins University