Real-Time Stress Detection using Machine Learning and IoT

Stress management is a critical issue globally. This paper presents a real-time stress detection system using biometric markers such as body temperature, heart rate, and galvanic skin response (GSR). The system employs a Support Vector Machine (SVM) classifier to categorize stress levels into high, neutral, and low.