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The initial version of the data collection tool is capable of capturing real-time gyro and accelerometer sensor data from a mobile device while specific letters are displayed on the screen. These data points are stored in an SQLite database with a Django-based backend.
An intelligent API which is capable of passively tracking gyroscopic data to classify sobriety level in real-time that will help minimize risks of drunk-riding accidents for e-scooter sharing systems.