MyCurrent

Sleep Tab
Caffeine Tab
Schedule optimizer tab
MyCurrent Dashboard
Human Delta Tab

Inspiration

Everyone in the world sleeps yet the quality differs for everybody. We wanted to create an app that improves the sleep quality of users.

What it does

This app gives personalized recommendations for the user's day based off of the users previous input day values, such as their hours slept, caffeine intake, activity levels, their day schedule, sleep time.

How we built it

We programmed with AI as a guide to streamline our development process. To begin we found three data sets, 'Student Sleep Patterns', 'Sleep Health and Lifestyle Dataset', 'FitBit Fitness Tracker Data' off Kaggle. We filtered the columns we wanted, and feature engineered new columns that seemed relevant. We trained a Random Forest Machine Learning Model, to predict the user's health score. Using this score, we attached Human Delta to mimic the feature engineering, to do further analysis on the health score and users personalized input values. UI in Swift with SwiftUI—screens, tabs, scrolling stuff, sheets, and the glassy ocean-themed cards are all pretty standard SwiftUI, with shared colors and styles in AppTheme and the oceanCard look. The energy graph uses Apple’s Charts framework. The dashboard’s feedback slider is a tiny bit of UIKit (UISlider through UIViewRepresentable) because SwiftUI’s slider was fighting the scroll view. Combine handles things like timers and refresh loops feeding LocalStore, and Foundation covers models and API plumbing—it’s a straight-up native iOS app, no web UI stack.