This is an application I helped develop as a Software Engineer intern at Gekko Corporation.

On average, individuals in the United States tend to seek medical attention 2-4 times per year. During these visits, healthcare professional typically records basic vital signs such as heart rate, blood pressure, and temperature. However, such data alone may not provide a complete understanding of an individual’s overall health status. Furthermore, in the wake of the COVID-19 pandemic, virtual appointments have become increasingly common, presenting challenges for healthcare providers in obtaining accurate vital sign measurements.

WellnessIQ is cross platform health monitoring application that extracts health data from wearables and IoT devices such as apple watches and Fitbits. Why not leverage the data collected from these devices to get allow healthcare professionals to get a better understanding of patients’ overall health? The application extracts data including heart rate, heart rate variability, oxygen saturation, respiratory rate, body temperature, sleep analysis, etc. This data is sent to our Splunk Db where ML algorithms analyze and categorize the data, identifying outliers and creating informative visualizations such as graphs and charts. Healthcare providers can use these visualizations to monitor their patients’ health trends, identify potential risks, and provide personalized recommendations for improving their patients’ health. 

I presented this project at the University of Washington, CSSE Capstone Colloquium where I won the Best Poster Award. You can check out my poster here!