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Author(s):

Ajay S.P | Ajai Rathinam N | Gayathiri P | Kesavan M | Anne pratheeba R
Keywords:

AI, ML, CV, EAR, Stress Detection, Workplace Monitoring, Flask, MySQL
Abstract:
In Modern Digital Work Environments, Employee Stress Has Become A Major Factor Affecting Productivity And Organizational Performance. This Paper Presents AURA (Adaptive User Response Assistant), An Intelligent System Designed To Monitor Employee Stress Levels In Real Time Using Artificial Intelligence (AI), Machine Learning (ML), And Computer Vision (CV). The System Analyses Facial Expressions, Eye Movements, And Head Posture Using Webcam Input To Detect Stress Indicators. It Classifies Stress Levels Into Low, Medium, And High Categories And Generates Real-time Alerts To Encourage Employees To Take Breaks. The System Also Stores Stress Patterns In A Database And Provides Insights Through An HR Dashboard. The Proposed System Improves Workplace Well-being, Reduces Burnout, And Enhances Productivity Through Automated Monitoring And Data-driven Decision-making.