NavEaz is a novel AI-powered smartwatch app designed to enhance driver safety by monitoring and predicting driver impairment in real time. Using advanced machine learning algorithms that combines CNNs and LSTMs, developed and tested by our team, NavEaz analyzes physiological signals like heart rate and electrodermal activity to detect fatigue, drowsiness, and other impairments with high accuracy. Our smart AI allows NavEaz to predict when a driver is about to lose focus in the next 5 to 15 minutes, ensuring that they correct their attention before danger arises.

Recognition & Outreach
• Selected to be presented at Transport Canada/NRC Community of Practice (CoP) workshop, Oct 2024.
• Received an Innovation Design Award from ICACHI (5,000 RMB).

Core Features
• Real-time monitoring and prediction of driver impairment using AI based on physiological signals
• Integration with non-invasive smartwatch sensors for non-intrusive driver assistance
• Generative AI dynamically tailors responses, such as suggesting rest breaks or playing music

• SkillsPython, Machine Learning, Real-Time Data Analysis, Generative AI, PPG & EDA Analysis, Electrodermal Activity Monitoring, Wearable Technology
• Team MembersYuzhe You, Yubo Jiao, Ce Zhang, Michael Brazeau
• KeywordsHCI, Driver Safety, Predictive AI, Real-Time Monitoring, Wearable Tech, Generative AI