Smart health monitoring system using LLM
Abstract
In today's fast-paced world, keeping track of personal health is more important than ever.
My project, "Smart Health Monitoring System Using LLM," aims to revolutionize
healthcare management by combining cutting-edge technology with practical, everyday
use. This system uses a smartwatch with advanced sensors to continuously monitor vital
health signs. This data is then sent to a mobile app, where users can easily access realtime
health insights and personalized advice. The standout feature of this system is the
integration of a Large Language Model (LLM). This AI-powered assistant allows users to
ask health-related questions and receive customized guidance, making it easier for people
to understand and manage their health. Additionally, the app offers special content to help
teenagers navigate menstrual health, providing education and support in an accessible
way. The smartwatch, which connects to the app via Bluetooth, tracks various health
metrics like heart rate, sleep patterns, and physical activity. By analyzing this data, the
app can offer valuable insights and alerts, helping users make informed health decisions.
This proactive approach encourages a healthier lifestyle and empowers users to take
control of their well-being. Developed during my third year of engineering studies, this
project showcases how innovative technology can address real-world health challenges.
By merging wearable tech with intelligent algorithms, the Smart Health Monitoring
System aims to set a new standard for personalized healthcare, making it more accessible
and effective for everyone.