IOT-Based Driver Drowsiness Detection System
• Involved in a team of three and built a real-time driver’s drowsiness alert system. Engineered solution on Raspberry pi platform • Formulated an Machine learning algorithm with Eye-aspect ratio (EAR) and Frontal Haar (Open CV) • Modeled a system loading the ML algorithm in the IOT device and hosted in AWS EC2