Sleep App & Sensor Research

I had the privilege of leading the team in the development of a groundbreaking sleep improvement application. Leveraging Flutter, we ensured a cross-platform, aesthetically pleasing, and seamless user experience, accessible to both Android and iPhone users.

Under the hood, we harnessed a Raspberry Pi and Python for the app's backend infrastructure, efficiently processing data from an array of sensors including cameras, lights, and sound. By analyzing this data, the app delivers tailored recommendations to enhance sleep quality based on each user's environment.

Navigating the app is intuitive — users input their sensor ID to access comprehensive sleep data on a user-friendly calendar interface, and can subjectively rate their sleep quality and share qualitative insights. A moderated community feature fosters knowledge sharing while keeping the space respectful and constructive.

Affordability and inclusivity were paramount in our design philosophy. Users reported meaningful improvements in sleep health and routine adherence when following the app's recommendations.