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. Introducing SleepX!!! SleepX is designed & made with Machine Learning to help the Coffee Drinkers get a better sleep by asking them 3 questions (Wake up time, Desired sleep duration & No. of Cup of Coffee). After getting User Response, the values will be feed to the Core ML Model which is trained with thousands of possible answers. CoreML will predict the actual sleep required on the basis of user response.
🔦 Any other specific thing you want to highlight?
SleepX helps users to sleep well & stay healthy!
✅ Checklist
Before you post the issue:
[x] You have followed the issue title format.
[x] You have provided all the information correctly.
[x] You have read and agree with the terms in the Code Of Conduct
Cipher - SleepX - Health
ℹ️ Project information
Your Theme:
HealthProject Name:
SleepXShort Project Description:
Sleep Prediction AppTeam Name:
CipherTeam Members: Dhanraj Chavan
Demo Link: https://youtu.be/4DqkiHTfbXg
Presentation Link: https://bit.ly/3uVT1wh
Repository Link: https://github.com/dhanrajdc7/SleepX
🔥 Your Pitch
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. Introducing SleepX!!! SleepX is designed & made with Machine Learning to help the Coffee Drinkers get a better sleep by asking them 3 questions (Wake up time, Desired sleep duration & No. of Cup of Coffee). After getting User Response, the values will be feed to the Core ML Model which is trained with thousands of possible answers. CoreML will predict the actual sleep required on the basis of user response.
🔦 Any other specific thing you want to highlight?
SleepX helps users to sleep well & stay healthy!
✅ Checklist
Before you post the issue: