Overview
Role: Machine Learning and Data Processing Lead
Project Overview:
Developed a smart system to detect stress levels by analyzing physiological eye data and biomechanical indicators. The workflow included signal preprocessing, feature extraction, and classifier design based on ML algorithms.
Key Outcomes:
• Early detection of fatigue and cognitive overload
• Prototype validated in human-factor engineering scenarios
Application Domains: Digital health, ergonomics, workforce safety
Skills Used: Python ML pipeline, biomedical signal analysis, data labeling
