Abstract:
In today’s fast-paced world, people often neglect key aspects of their health due to fragmented
health monitoring tools and lack of time for routine checkups. There is a growing need for a
unified, intelligent solution that empowers users to manage their overall well-being in
provide citizens easier and more precise
now
ways to
one
place. Mobile health (mHealth) applications
observe different aspects of their personal health. The current mobile health apps
specific domain while overlooking others which leads to divided health
concentrate on one
data among users. This project delivers SEHAT - A Multipurpose Hub for Health and
Wellness Needs as a single mobile application platform that contains three essential health
monitoring features: Sleep Tracker, Nutrition Tracker, and Disease Prediction. The system
implements a ffontend built with Flutter and a backend with Django to achieve responsive
performance along with a scalable structure. The application uses artificial intelligence to
improve two main features: it recognizes meals by processing images and predicts diseases
such as diabetes along with hypertension and diabetic retinopathy. These A1 models receive
training from and perform evaluations on information obtained from public databases. SEHAT
unites diverse health services through its unified platform to deliver an improved system for
comprehensive whole-person health care management.
