Smart Jewelry Ecosystems: Leveraging IoT for Realtime Health and Gem Data Sync

Sashi Kiran Vuppala

doi:10.36948/ijfmr.2025.v07i05.58807

Smart Jewelry Ecosystems: Leveraging IoT for Realtime Health and Gem Data Sync

Author(s)	Sashi Kiran Vuppala
Country	United States
Abstract	Smart wearable devices are transforming modern healthcare and luxury technology by enabling continuous monitoring of health parameters and asset integrity. However, most existing wearable solutions are limited in scope, focusing either on health tracking or jewelry aesthetics without fully integrating both functionalities. Traditional health monitoring devices often lack elegance and social acceptability, while conventional jewelry does not offer any intelligent features or real-time data interaction. Moreover, standalone sensor systems commonly suffer from high latency, inadequate anomaly detection mechanisms, and weak integration with scalable cloud infrastructures, limiting their utility in proactive health and security applications. This paper introduces a smart jewelry ecosystem that leverages Internet of Things (IoT) technology for real-time synchronization of health and gemstone data. The system is designed with embedded biosensors for collecting physiological signals such as heart rate, SpO₂, temperature, and vibration metrics from embedded gem sensors. For health monitoring, a Long Short Term Memory (LSTM)-Autoencoder model is employed to detect anomalies in user vitals through unsupervised learning, providing an intelligent alert system without prior labeling of abnormal data. For gemstone integrity analysis, a Shewhart Control Chart is used as a statistical process control method to detect physical tampering or deterioration. Data is seamlessly uploaded to Google Cloud, ensuring scalable storage, low-latency processing, and efficient retrieval. This dual-monitoring framework enables simultaneous tracking of both personal health and jewelry conditions, offering a novel blend of utility and aesthetics. Experimental evaluation confirms high accuracy in anomaly detection, stable data sync performance, and enhanced user experience. The system serves as a foundational step toward intelligent luxury wearables, addressing the shortcomings of earlier approaches by combining deep learning, cloud computing, and real-time sensing into a unified platform.
Keywords	Smart jewelry, IoT, health monitoring, anomaly detection, Long Short Term Memory -Autoencoder, Shewhart control chart.
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-09-06
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.58807

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Smart Jewelry Ecosystems: Leveraging IoT for Realtime Health and Gem Data Sync

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