Abstract
The primary goal of the Birdwatch project is to develop and validate an initial machine learning model for decentralized, portable acoustic detection of small drones, with an emphasis on FPV and quadcopter platforms operating at low altitude. Unlike existing centralized acoustic systems optimized for missiles and large UAVs, this project targets early warning at the tactical edge, where dismounted personnel or lightly protected vehicles require immediate, localized threat awareness.