Using lifestyle recommendation algorithms to help patient track changes in their daily activities such as sleep, glucose, diet and weather. For example, Diabetic Type 1 patients have a medical condition that require life long dependence on insulin with daily or continuous glucose monitoring. Type 1 diabetic patients commonly depend on controlling their glucose levels, monitor their dietary intake and depend on ancillary services like nutritionist, diabetic counselors, endocrinologists and primary physician services to maintain a healthy lifestyle. To support diabetic patients with visualization of personalized data set - that is an integral to their day - to - day activities/diet/insulin treatments to monitor their physiological health state, diet tracking and lifestyle measurement such as social activities, sleep, weather or mood.

pitch: https://drive.google.com/file/d/1Oots7O2GxskDV1W8nRPZCd926ouURGtd/view?usp=sharing