AI-powered personalized health management for diabetes
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
significantly influencing quality of life and presenting challenges for healthcare systems.
Effective management of diabetes is crucial as it mitigates risks of severe complications,
including cardiovascular diseases, kidney damage, and nerve disorders. The "HealthWise"
project sets out to revolutionize diabetes care by developing an AI-powered personalized
health management platform, tailored specifically for diabetic patients. This platform
leverages cutting-edge machine learning algorithms and data analytics to provide
individualized nutrition and exercise plans, thereby enhancing overall health and
improving glucose control.
Diabetes management requires addressing complex interconnections between various
health parameters, including glucose levels, dietary habits, and physical activity.
Conventional approaches often fail to integrate these aspects effectively, leading to
fragmented and suboptimal care. HealthWise overcomes these challenges by employing
advanced predictive models that analyse real-time data collected from wearable devices
and mobile applications. These models ensure continuous and comprehensive monitoring
of users’ health metrics, offering actionable insights in real time.
A significant innovation of HealthWise lies in its user-centric design. The platform’s
intuitive interface simplifies access to personalized recommendations, progress tracking,
and health monitoring. Users receive real-time alerts for critical health events and
motivational feedback to encourage adherence to health plans. Features such as meal
logging, glucose trend analysis, and customized fitness routines empower users to take
control of their health with ease.
The backend infrastructure of HealthWise is built using FastAPI for API development,
integrating SQLAlchemy for efficient database operations, and Cryptography for securing
sensitive data. Predictive analytics is driven by machine learning frameworks such as
TensorFlow and PyTorch, ensuring high accuracy and reliability in generating health
recommendations. Additionally, the platform incorporates continuous glucose