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International Journal of Physics and Mathematics
Peer Reviewed Journal

Vol. 7, Issue 2, Part C (2025)

Integration of biosensors and AI in wearable devices for health mentoring applications

Author(s):

Narvir Kumar and Satyander Kumar

Abstract:

Wearable technology is rapidly evolving from simple fitness trackers into intelligent health companions capable of transforming personal well-being. This paper explores the integration of advanced biosensors with Artificial Intelligence (AI) to create a wearable device that goes beyond monitoring it mentors. Equipped with sensors for tracking vital signs such as heart rate, blood oxygen, body temperature and activity levels the system continuously captures real-time health data. AI-driven algorithms then analyse these inputs to detect anomalies, predict potential risks and deliver personalized guidance tailored to each user’s lifestyle and physiological needs. This health mentoring wearable actively engages users through timely reminders, adaptive feedback and preventive recommendations, encouraging healthier choices and proactive self-care. With potential applications ranging from chronic disease management and elderly care to fitness and stress reduction, the proposed system demonstrates how biosensor AI synergy can empower individuals while easing the load on healthcare providers. This work highlights the promise of next-generation wearable health mentors as trusted partners in everyday wellness and preventive healthcare.

Pages: 241-246  |  124 Views  60 Downloads


International Journal of Physics and Mathematics
How to cite this article:
Narvir Kumar and Satyander Kumar. Integration of biosensors and AI in wearable devices for health mentoring applications. Int. J. Phys. Math. 2025;7(2):241-246. DOI: 10.33545/26648636.2025.v7.i2c.153