BetterRest is an iOS app designed to assist coffee drinkers in achieving a better night's sleep by analyzing their sleep preferences. By answering three key questions—wake-up time, desired sleep duration, and daily coffee intake—the app provides personalized sleep recommendations using machine learning powered by CoreML APIs.

This project focuses on gathering user input via a date picker, stepper, and picker to determine their preferred wake-up time, sleep duration, and caffeine consumption. Leveraging the CoreML APIs, BetterRest employs a machine learning model to predict optimal sleep patterns based on user input.

• Wake-up Time Selection: Allows users to choose their desired wake-up time using a date picker.
• Sleep Duration Preference: Determines the ideal duration of sleep users aim for through a stepper view.
• Coffee Intake Input: Asks users about their daily coffee consumption using a picker.

• Swift's Date API: Utilized for handling date and time in the app's user interface.
• Machine Learning with CoreML: Created a custom machine learning model using CreateML and implemented it in the app using CoreML APIs.
• Stepper View: Introduced the use of a stepper view to navigate and select through a range of values.
• Picker: Employed a picker to facilitate the selection of options for coffee intake.

To explore and run the BetterRest app:

1. Clone this repository.
2. Open the project in Xcode.
3. Build and run the app on a simulator or a physical device.
4. Input your preferred wake-up time, sleep duration, and daily coffee intake to receive personalized sleep recommendations.

This project was created as a learning exercise inspired by Hacking with Swift's 100 Days of SwiftUI. The implementation was guided by resources from the Swift community, Apple's documentation, and tutorials on CoreML and SwiftUI integration.