CLIENT LOVES
- Actionable deep breathing insights for improved wellness.
- Seamless onboarding for effortless user adoption.
- Accurate real-time breathing pattern analysis.
- User-friendly interface with guided assessments.
HOW WE DELIVERED
- Integrated phone sensors (accelerometer, gyroscope, magnetometer) for real-time breathing tracking.
- Built a secure and scalable backend infrastructure with Node.js and VPC.
INDUSTRY
Health & Wellness Technology
Deep Breathing App for Wellness & Stress Management
Project Goal – Data-Driven Breathing and Sleep Analysis
The deep breathing app was created to help users track their breathing patterns and assess sleep quality through structured tests and guided exercises. The primary goal was to offer a seamless and intuitive user experience while leveraging phone sensors for accurate data collection and analysis.
Overcome Challenge – Real-Time Sensor Integration & Data Accuracy
One of the main challenges in developing the Deep Breathing App was ensuring that the phone sensors could accurately capture chest movement and breathing patterns in real-time. To address this, the development team implemented a robust data-processing system using a combination of accelerometer, gyroscope, and magnetometer readings.
👏🏽 Cutting-Edge Functionality – Smart, Adaptive, and Actionable Insights
The Deep Breathing App was built with a user-first approach, focusing on ease of use and meaningful insights. Key features include seamless onboarding, sleep assessment, breathing test, and post-test insights.
Tech Stack
Some technologies used for this project
Swift UI Kit (iOS)
Node.js
PostgreSQL
MongoDB
Smartphone Sensors
