/SleepX

Primary LanguageSwift

Introducing SleepX

Cover

Important Links

  1. PPT Presentation
  2. Demo Video

Problem Statement

  • According to the Statista Global Consumer Survey, people drink an average of 2-3 cups of coffee per day.
  • Coffee contains Caffeine which can have a disruptive effect on your sleep.
  • The most obvious effect of the stimulant is that it can make it hard for you to fall asleep.
  • One study also found that caffeine can delay the timing of your body clock.
  • These effects will reduce your total sleep time.

Solution

  • SleepX is designed & made with Machine Learning to help the Coffee Drinkers get a better sleep by asking them 3 questions
  1. Wake Up Time 2. Desired Sleep Duration 3. No. Of Cups of Coffee per Day
  • After getting User Response, the values will be feed to the Core ML Model which is trained with Regression of thousands of possible answers.
  • CoreML will predict the actual sleep required on the basis of user response.
  • Credits: Paul Hudson for Training Data
  • Ideal Bedtime = WakeUp Time - (Desired Sleep Duration + ML Predicted Extra Sleep)

Technologies Used

  • SwiftUI
  • CoreML
  • Lottie Animations