Inspiration
As high school students, our nights are often filled with essays, exams, distractions, and procrastination. Throughout everything, we realized how the value of a good grade has become so internalized within this community that we rarely ever prioritize our own mental and physical health. This was the primary inspiration for creating Eidetic, a platform to help students keep track of their sleep schedule.
What it does
Eidetic improves both your mental and physical health by giving you a clearer idea of how much your sleep schedule changes on average, helping you fall asleep with meditation and breathing exercises, and providing attainable goal recommendations along with a way to easily keep track of your progress.
How we built it
We built Eidetic using HTML/CSS, Javascript, and Chart.js with FireBase for user authentication.
Challenges we ran into
Neither of us have much experience with hackathons, and one of us is completely new to web development. Some of our biggest challenges were coming up with an original take on a simple idea, figuring how to collaborate and resolve merge conflicts on github, and learning how to use Firebase and Chart.js.
Accomplishments that we're proud of
We're really proud of having created an app with an intuitive interface, a simple yet compelling user flow, and seamless functionality.
What we learned
Along with a ton of technical coding skills, throughout this process, we learned how important it is to maintain high morale while toughing through difficult tasks. At the same time, it's also necessary to keep a flexible mindset and not get caught up with perfecting something that doesn't have that much practical value.
What's next for Eidetic
In the future, we hope to add a scroll-back feature to the weekly sleep charts so that users can have a visual of how their daily sleep has changed over time. We also have plans to allow users to edit their profiles and choose different breathing exercise animations. Additionally, we would like the app take in weight/height/age statistics along with mood/energy data when recommending hours of sleep.
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