## Inspiration 💭

With the current staffing problem in hospitals due to the lingering effects of COVID-19, we wanted to come up with a solution for the people who are the backbone of healthcare. **Personal Support Workers** (or PSWs) are nurses that travel between personal and nursing homes to help the elderly and disabled to complete daily tasks such as bathing and eating. PSWs are becoming increasingly more needed as the aging population grows in upcoming years and these at-home caregivers become even more sought out.

## What it does 🙊

Navcare is our solution to improve the scheduling and traveling experience for Personal Support Workers in Canada. It features an optimized shift schedule with vital information about where and when each appointment is happening and is designed to be within an optimal traveling distance. Patients are assigned to nurses such that the nurse will not have to travel more than 30 mins outside of their home radius to treat a patient. Additionally, it features a map that allows a nurse to see all the locations of their appointments in a day, as well as access the address to each one so they can easily travel there.

## How we built it 💪

Django & ReactJS with google maps API.

## Challenges we ran into 😵

Many many challenges. To start off, we struggled to properly connect our backend API to our front end, which was essential to pass the information along to the front end and display the necessary data. This was resolved through extensive exploration of the documentation, and experimentation. Next while integrating the google maps API, we continuously faced various dependency issues as well as worked to resolve more issues relating to fetching data through our Django rest API. Since it was our first time implementing such an infrastructure, to this extent, we struggled at first to find our footing and correctly connect and create the necessary elements between the front and back end. However, after experimenting with the process and testing out different elements and methods, we found a combination that worked!

## Accomplishments that we're proud of 😁

We made it! We all felt as though we have learned a tremendous amount. This weekend, we really stepped out of our comfort zones with our assignments and worked on new things that we didn't think we would work on. Despite our shortcomings in our knowledge, we were still able to create an adequately functioning app with a sign-in feature, the ability to make API requests, and some of our own visuals to make the app stand out. If given a little more time, we could have definitely built an industry-level app that could be used by PSWs anywhere. The fact we were able to solve a breadth of challenges in such little time gives us hope that we BELONG in STEM!

## What's next for Navcare 😎

Hopefully, we can keep working on Navcare and add/change features based on testing with actual PSWs. Some features include easier input and tracking of information from previous visits, as well as a more robust infrastructure to support more PSWs.
## Inspiration

In recent years, the population of senior citizens in America has been experiencing a worsening retirement crisis. With savings rates down, the future of Social Security in question and the American population amassing more debt, financial wellbeing is a source of stress for many households. The elderly in particular encounter struggles with critical financial responsibilities, as many are challenged with mental and physical conditions.

## What it does

Users of this website will provide their phone number, and our backend Node.js software will utilize the Twilio API to send custom calls and push notifications. With these messages, our software reminds users to make necessary payments, sends weekly financial recaps, contacts family members about potential scammer activity, and informs people about additional resources for financial assistance like Medicare, retirement benefits, and supplemental security income.

## Accomplishments that we're proud of

UI / UX Design

## What we learned

How to collaborate effectively on a project.

## What's next for Aeonian

Finish implementing logic and functionality to request a user's financial records and process them accordingly.
## Inspiration

Every year Canadians spend millions on dollars on home security and throw away around 40,000 cell-phones which contributes to the global e-waste epidemic. To combat this, we came up with EcoSecure, which is a python web app that acts as your eyes and looks over your house while you're away.

## What it does

EcoSecure uses a deep learning model to detect faces of all who step at your door. Using facial recognition, it identifies the person and classifies them as a known person, or unknown. If an unknown person persists to be at your door, it sends a message to the owner and allows them to take further actions.

## How we built it

We built it using Flask, facial recognition, OpenCV, HTML/CSS and a whole lot of love.

## Challenges we ran into

Our biggest challenge was finding out a machine learning model that would be secure enough and give accurate predictions in recognizing faces.

## Accomplishments that we're proud of

We're proud of all that we learned and accomplished during the making of EcoSecure.

## What we learned

We learned a whole lot about machine learning and web development using flask.

## What's next for EcoSecure

The potential of EcoSecure is endless. In further iterations, it can be made to utilize both the front and back cameras to provide 360 vision while recording. We