This thesis explores the feasibility of reverse engineering the PredictS algorithm by Sleep Advice Technologies Srl, which predicts driver drowsiness and potential sleep events. Unlike traditional Advanced Driver Assistance Systems (ADAS) relying on cameras and radars, PredictS uses physiological data sampled at 1Hz from a Garmin Instinct 2 Dezl smartwatch. The smartwatch connects via Bluetooth Low Energy (BLE) to a smartphone, enabling real-time data collection through an Android application. The dataset includes driving simulations from 24 participants (16 males, 8 females; average age 33.75) conducted in September 2023 and March 2024. Each session lasted about 1.5 hours or until the driver fell asleep.