Inspiration

Our idea came from our initial brainstorm of ideas. We wanted to focus on a healthcare theme, but knew that most healthcare technology is much too complicated for us to create in our first Hackathon. Instead, we thought about combining multiple of our ideas together into a site that could help caretakers of seniors in a variety of ways.

What it does

Our site, HealthTrack, helps caretakers with senior patients with a variety of health conditions. Our Symptom and Medicine trackers allow the user to track when and what medicine was taken over a period of time, and record health symptoms to ensure a robust medical history. Our Health Check-in Quiz is a 4 question quiz that documents a senior's daily health. Our Fall Detector is a camera feed that allows a caretaker to monitor a senior patient for safety.

How we built it

We started by creating a basic web server that could use Python on the backend and HTML on the frontend to ensure that we could interface with the Raspberry Pi Camera. From there, we divided and conquered! Arushi took on more frontend with the HTML, Flask, and POST requests, while Joy tackled the backend Python programs. As beginners, we utilized online resources like Youtube videos and documentation to help us learn the languages and solve errors.

Challenges we ran into

With Ignition Hacks being both of our first hackathons, we ran into many challenges throughout this project. The most common problem that we found was our lack of knowledge in Python, HTML, and the separation of frontend and backend. With us learning everything as we went, we often came across hurdles trying to connect our frontend and backend when sending data through POST and GET. For the quiz, a seemingly simple program turned out to requires hours of trying and trying again. However, in the end, we can say that our growth as programmer and innovators has been worth the struggle and though this was our first hackathon, it will definitely not be our last!

Accomplishments that we're proud of

Seeing the final product come together and be a piece of technology that someone could actually interact with and use was one of the most proudest accomplishments for us. Even when it seems like nothing was working when we will initially trying to send data through POST, one of our biggest accomplishments this hackathon was our perseverance. Seeing just how much we can really learn in such a short amount of time filled us with pride and our improved programming abilities is something we can be proud of.

What we learned

Our learning from this project and this experience is immense. We learned how to combine a frontend software like HTML and a backend software like Python together to create dynamic webpages that can change with user input. Moreover, we learned how to quickly problem solve and test multiple solutions to problems to find one that works.

What's next for HealthTrack

HealthTrack's camera feed has ample potential to utilize image recognition and machine learning to help improve safety. Currently, our camera feed relies on a caregiver actively watching the feed to detect a potential fall. However, by implementing image recognition, the camera itself could detect a fall and notify the caregiver using text messages and emails. Furthermore, the camera could use machine learning to reduce its false alarms by asking the user for feedback. The software can improve using this feedback, allowing for more safety for seniors and less stress for caregivers.

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