02 / Embedded systems / Wearable technology
A small device. A meaningful problem.
Exploring driver drowsiness detection through physiological sensing and embedded intelligence.

THE CONTEXT
Engineering in practice.
This project explores a wearable drowsiness detection system using PPG sensor technology and artificial intelligence. Physiological signal processing and heart-rate variability analysis form the basis for identifying early signs of driver drowsiness.
MY CONTRIBUTION
Part of the process.
- Worked on an engineering project combining physiological sensing and embedded machine learning.
- Explored the integration of electronics into a wearable form factor.
- Connected embedded-system concepts with a practical, human-centered application.

