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Edge Artificial Intelligence — Track Invasive and Endangered Birds

TensorFlow Lite · Google Coral · Edge TPU · NVIDIA Jetson

Deployed a TensorFlow Lite BirdNet model on a Google Coral Board with an Edge TPU, building a solar-powered edge device that autonomously identifies bird species in the wild. Deployed classroom demonstrations on a NVIDIA Jensen Board.

Integrated the device with a citizen science bird database, enabling real-time wildlife sightings to be logged and contributed to broader ecological research.

Device

Edge AI bird tracking device

Hardware: Google Coral Dev Board (Edge TPU), NVIDIA Jensen Board

Model: BirdNet (TensorFlow Lite)

Power: Solar-powered edge device

Integration: Citizen science bird database for real-time wildlife sighting logs