## Inspiration

Social-distancing is hard, but little things always add up.

What if person X is standing too close to person Y in the c-mart, and then person Y ends up in the hospital for more than a month battling for their lives? Not finished, that c-mart gets shut down for contaminated merchandise.

All this happened because person X didn't step back.

These types of scenarios, and in hope of going back to normal lives, pushed me to create **Calluna**.

## What Calluna does

Calluna is aimed to be an apple watch application. On the application, you can check out all the notifications you've gotten that day as well as when you've got it and your settings.

When not on the app, you get pinged when your too close to someone who also has the app, making this a great feature for business workforces.

## How Calluna was built

Calluna was very simply built using Figma. I have linked below both design and a fully-fuctionally prototype!

## Challenges we ran into

I had some issues with ideation. I needed something that was useful, simple, and has growth potential. I also had some headaches on the first night that could possibly be due to sleep deprivation and too much coffee that ended up making me sleep till the next morning.

## Accomplishments that we're proud of

I love the design! I feel like this is a project that will be really helpful *especially* during the COVID-19 pandemic.

## What we learned

I learned how to incorporate fonts to accent the color and scene, as well as working with such small frames and how to make it look easy on the eyes!

## What's next for Calluna

I hope to create and publish the ios app with GPS integration, then possibly android too.
## Inspiration

Our inspiration for this project was the technological and communication gap between healthcare professionals and patients, restricted access to both one’s own health data and physicians, misdiagnosis due to lack of historical information, as well as rising demand in distance-healthcare due to the lack of physicians in rural areas and increasing patient medical home practices. Time is of the essence in the field of medicine, and we hope to save time, energy, money and empower self-care for both healthcare professionals and patients by automating standard vitals measurement, providing simple data visualization and communication channel.

## What it does

What eVital does is that it gets up-to-date daily data about our vitals from wearable technology and mobile health and sends that data to our family doctors, practitioners or caregivers so that they can monitor our health. eVital also allows for seamless communication and monitoring by allowing doctors to assign tasks and prescriptions and to monitor these through the app.

## How we built it

We built the app on iOS using data from the health kit API which leverages data from apple watch and the health app. The languages and technologies that we used to create this are MongoDB Atlas, React Native, Node.js, Azure, Tensor Flow, and Python (for a bit of Machine Learning).

## Challenges we ran into

The challenges we ran into are the following:

1) We had difficulty narrowing down the scope of our idea due to constraints like data-privacy laws, and the vast possibilities of the healthcare field.

2) Deploying using Azure

3) Having to use Vanilla React Native installation

## Accomplishments that we're proud of

We are very proud of the fact that we were able to bring our vision to life, even though in hindsight the scope of our project is very large. We are really happy with how much work we were able to complete given the scope and the time that we have. We are also proud that our idea is not only cool but it actually solves a real-life problem that we can work on in the long-term.

## What we learned

We learned how to manage time (or how to do it better next time). We learned a lot about the health care industry and what are the missing gaps in terms of pain points and possible technological intervention. We learned how to improve our cross-functional teamwork, since we are a team of 1 Designer, 1 Product Manager, 1 Back-End developer, 1 Front-End developer, and 1 Machine Learning Specialist.

## What's next for eVital

Our next steps are the following:

1) We want to be able to implement real-time updates for both doctors and patients.

2) We want to be able to integrate machine learning into the app for automated medical alerts.

3) Add more data visualization and data analytics.

4) Adding a functional log-in

5) Adding functionality for different user types aside from doctors and patients. (caregivers, parents etc)

6) We want to put push notifications for patients' tasks for better monitoring.
## Inspiration

Are you out in public but scared about people standing too close? Do you want to catch up on the social interactions at your cozy place but do not want to endanger your guests? Or you just want to be notified as soon as you have come in close contact to an infected individual? With this app, we hope to provide the tools to users to navigate social distancing more easily amidst this worldwide pandemic.

## What it does

The Covid Resource App aims to bring a one-size-fits-all solution to the multifaceted issues that COVID-19 has spread in our everyday lives.

Our app has 4 features, namely:

- A social distancing feature which allows you to track where the infamous "6ft" distance lies

- A visual planner feature which allows you to verify how many people you can safely fit in an enclosed area

- A contact tracing feature that allows the app to keep a log of your close contacts for the past 14 days

- A self-reporting feature which enables you to notify your close contacts by email in case of a positive test result

## How we built it

We made use primarily of Android Studio, Java, Firebase technologies and XML. Each collaborator focused on a task and bounced ideas off of each other when needed.

The social distancing feature functions based on a simple trigonometry concept and uses the height from ground and tilt angle of the device to calculate how far exactly is 6ft.

The visual planner adopts a tactile and object-oriented approach, whereby a room can be created with desired dimensions and the touch input drops 6ft radii into the room.

The contact tracing functions using Bluetooth connection and consists of phones broadcasting unique ids, in this case, email addresses, to each other. Each user has their own sign-in and stores their keys on a Firebase database.

Finally, the self-reporting feature retrieves the close contacts from the past 14 days and launches a mass email to them consisting of quarantining and testing recommendations.

## Challenges we ran into

Only two of us had experience in Java, and only one of us had used Android Studio previously. It was a steep learning curve but it was worth every frantic google search.

## What we learned

* Android programming and front-end app development
* Java programming
* Firebase technologies

## Challenges we faced

* No unlimited food