Wavelet

A wearable tracker for fitness and health research

Django
iOS
CSS3
JavaScript
PostgreSQL
Python
Objective C
NGINX
Android
RESTful APIs
Automated Testing
HTML5
Ubuntu
Linux
Scalable Infrastructure
Docker
Artificial Intelligence
Data Science
Data Classification
Machine Learning
Payment Processing
Responsive Web Design
Adobe Illustrator
Bluetooth Low Energy
Push Notifications
Java
Amazon Web Services
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HOW WE HELPED

Wavelet came to us with a prototype wearable device and needed apps and a scalable server architecture to be built. We used Bluetooth Low Energy to its very limits in syncing detailed biometric data from the devices to iPhone and Android devices. Once the data was on the phone, we passed it to the cloud compute platform for heavy-duty machine learning and other processing. The phone would then display detailed information about the user's heart rate, blood oxygen content, REM cycles during sleep, and even what types of exercises were performed during a workout.

View Wavelet

THE TECH

At the time we were developing Wavelet, Bluetooth was an unstable technology on both Android and iOS. We had to put in robust error handling and other rate throttling mechanisms to ensure the stability of the phones while connected to the wearables.

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