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Tempest House

SweetSpot Motion Lifestyle tracking and habit trainer

Ambitious Lifestyle Tracking App

Health and Wellness / IoT and Machine Learning

Ambitious Lifestyle Tracking App

Overview

Sweetspot Motion is a motion-tracking health and wellness software application that uses IoT and Machine Learning technologies along with low energy Bluetooth devices for tracking and transmitting data.

Client
SweetSpot Motion Lifestyle tracking and habit trainer
Industry
Health and Wellness
Type
IoT and Machine Learning

Key Value Add

We took SweetSpot Motion from a barely working prototype device to a state-of-the-art health and wellness application.

Features

What the engagement included

  • Movement tracking using an IOT device
  • Relay movement data to app and backend ML server
  • Realtime alerts and notifications
  • Visual reports and graphs for users to track progress and goal completion based on their motion
  • Recommendations when users perform activities that are harmful
  • Provide learning materials for health improvement and habit building

Technologies

Tools and platforms

  • JavaScript
  • Angular
  • PHP
  • Laravel
  • Doctrine
  • MySQL
  • HTML5
  • CSS3
  • Ionic
  • Python
  • Flask
  • AWS
  • GitLab CI
  • Kubernetes
  • Machine Learning

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