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A Wellness Mobile Application for Smart Health
Abstract
The suggested wellness mobile application uses many processes, both automatic and manual, to record various parameters on a daily basis. The wellness app also calculates and monitors the appropriate indicators monitoring nutrition, physical activity, and sleep quality to motivate the user to alter their lifestyle. An inference reasoning module analyses these signs to identify the types of recommendations the subject needs to adopt the desired behaviours. These recommendations might include, for example, maintaining the Mediterranean diet correctly, which is acknowledged as the suitable diet for preventing cardiovascular disease, and/or improving the activity plan. Guidance, exercise, sleep, and mindfulness are among linked aspects that Flutter, a wellness app for Android and iOS, takes care of.
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