Smart health monitoring system using LLM
| dc.date.accessioned | 2025-05-14T07:23:07Z | |
| dc.date.available | 2025-05-14T07:23:07Z | |
| dc.date.issued | 2025 | |
| dc.description.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. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/18900 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | Smart health monitoring system using LLM | |
| dc.type | Learning Object |
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