A Secure Full-Stack Ecosystem For Integrated Health And Fitness Telemetry

Prof. Pushpa T; Dheeraj P Aradhya; K Prajwal; Pramod Hegde; Kiran MR

A Secure Full-Stack Ecosystem For Integrated Health And Fitness Telemetry

Author : Prof. Pushpa T, Dheeraj P Aradhya, K Prajwal, Pramod Hegde, Kiran MR Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 247

Abstract:

The global surge in non-communicable diseases (NCDs) necessitates a transition from episodic clinical care to continuous, data-driven personal health management. This paper details the development of the Smart Health and Fitness Tracker (SHFT), a scalable ecosystem built on the MERN stack. Unlike localized tracking applications, SHFT employs a centralized NoSQL architecture to provide longitudinal health data analysis. The system integrates real-time telemetry tracking—including caloric balance, hydration, and sleep hygiene—with automated BMI and BMR computation. By utilizing a React-based interactive dashboard and Node.js middleware, the platform achieves high data integrity and low-latency feedback. Experimental results demonstrate that the system enhances user engagement and supports informed decision-making for long-term wellness.