Developed and deployed an AI-powered bird tracking device to monitor endangered and invasive species for a local nature center. Implemented a TensorFlow Lite BirdNet model on a Google Coral Board with an Edge TPU, optimizing real-time acoustic classification in a Linux environment.
Hardware: Google Coral Dev Board (Edge TPU)
Model: BirdNet (TensorFlow Lite, acoustic bird ID)
OS: Linux
Use case: Monitoring endangered and invasive species for a local nature center