BetterRest

A SwiftUI app to help coffee drinkers optimize their sleep schedules using CoreML.

Overview

BetterRest is an iOS app built with SwiftUI and CoreML. It uses machine learning to recommend optimal bedtimes based on user input, including wake-up time, desired sleep duration, and daily coffee consumption. The app demonstrates the power of tabular regression in CoreML to process billions of potential input combinations and generate personalized recommendations.

Features

• Customizable Sleep Recommendations: Input wake-up time, sleep duration, and coffee intake to get tailored bedtime suggestions.
• CoreML Integration: Utilizes machine learning models trained with tabular regression to predict sleep patterns.
• SwiftUI Interface: Clean and responsive UI for seamless user interaction.

Technologies Used

• Swift
• SwiftUI
• CoreML

Disclaimer

This is a sample project created to demonstrate the use of CoreML within a SwiftUI app. The predictions and recommendations provided are not scientifically accurate and should not be taken seriously.

How It Works

1. Users provide three inputs:
   • Wake-up time
   • Desired hours of sleep
   • Number of cups of coffee consumed daily
2. The app processes the inputs using a Core ML model trained with sleep pattern data.
3. A recommended bedtime is displayed to the user.

Acknowledgments

This project idea was originally proposed as part of the 100 Days of SwiftUI course by Paul Hudson. The course provided the initial concept and guidance for implementation.

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Notes for Reviewers

This project is part of my exploration of SwiftUI and CoreML, showcasing practical machine learning integration. Feedback is welcome! 😊

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Thank you for reviewing this project! Feel free to reach out for questions or suggestions. 😊