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Stress Detection using IOT Sensors and Machine Learning with Social Interaction Analysis

Sneha D D

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Abstract

This project presents a real-time stress detection system using a MAX30102 sensor and ESP8266 to monitor heart rate and SpO, with K-Means clustering for stress level classification. It also includes user feedback through Google Forms, making the system more accurate, affordable, and suitable for students and professionals.

Copyright

Copyright © 2025 Sneha D. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50500060696
ISSN: 2321-9653
Publisher: ijprems
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The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

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