Drowsy

Inspiration

We were inspired by the numerous amount of individuals that suffer from sleep deprivation and poor sleep schedules. Around 60 million Americans suffer from sleep problems whether they be chronic or ongoing sleep disorders. Our project was meant to provide a way to reward people for getting more sleep, and provide greater incentive for people to follow proper sleep schedules.

What it does

Our app tries to make maintaining a healthy sleeping schedule fun and intuitive by tracking and showing comprehensive sleep data, along with having a streak and credits system to keep the experience fun and motivating.

How we built it

Our web app was built with Next.js and Tailwind, and uses Appwrite as a backend service which manages the accounts and allows us to create a personalized experience per user. Our data analysis software was written in MATLAB, which analyzes audio files to determine sleep patterns of each user. Our plan was to connect the data analysis to the web app so that the user had good insight into how their sleep went, along with being able to view their sleep history to see how they're doing compared to before.

Challenges we ran into

The main challenges we ran into was with hardware design and the styling for our website. We had a lot of CSS trouble because it was our first time using Tailwind, which had a slight learning. Also, when we were building our circuit, we didn't have the correct capacitor which made it much more difficult to create our circuit and record the user sleep data. Our microphone components also had some quality issues, meaning that testing and prototyping them was affected.

Accomplishments that we're proud of

We're proud of creating a very functional web app minus the MATLAB data that we plan to connect to later.

What we learned

We picked up a number of technologies from this hackathon, such as NextJS, Tailwind, Appwrite, and Matlab. These are all very important technologies for creating quick and efficient web apps and data analysis, respectively. Overall, it was a very educational experience which will benefit our future endeavors.

What's next for Drowsy

A mobile app

• Varied data analytics to benefit from built-in sensors
  
• Notification features on smartphones and smartwatches can be used for profile notifications
• Accessibility Improved signal processing
• Recognize health-related trends through respiratory patterns
• Referrals to medical professionals

Built With

• appwrite
• matlab
• nextjs
• tailwind
• typescript