## Inspiration

We have to wait 4-5 years to elect an official or person in power who may potentially not achieve anything meaningful during his time. This simple addition to Envel puts the power and ownership of the community back into their hands. A single dollar may not achieve much, but a million one dollars will.

## What it does

Provides an option for Envel users to donate residue cash from daily budget to a local charity

## How we built it

Our concept design was built through photoshop and premiere pro. Photoshop allowed us to easily manipulate and experiment with potential UI elements. Then we brought life to our static ideas by animating them in premiere pro. This allowed us to experience the possible user experience.

## Challenges we ran into

Designing an attractive and alluring interface was our primary challenge. Incentivizing users to participate in activities charitable in nature is inherently difficult. As a result, we ran through many designs until we felt like the entire process was as frictionless and as inviting as possible.

## Accomplishments that we're proud of

Our team was able to conceptualize an application function and effectively materialize the concepts within our very strict time constraints.

## What we learned

What businesses do is not single faceted. With the current ever-evolving industry, businesses must adapt and grasp these facets in order to survive.

## What's next for The power of the dollar

Currently, our Design concept is still only a concept. Our next step would be to work with backend developers to actually program our design to the application and tackle any potential problems that we may encounter.
## Inspiration

We were inspired by the resilience of freelancers, particularly creative designers, during the pandemic. As students, it's easy to feel overwhelmed and not value our own work. We wanted to empower emerging designers and remind them of what we can do with a little bit of courage. And support.

## What it does

Bossify is a mobile app that cleverly helps students adjust their design fees. It focuses on equitable upfront pay, which in turn increases the amount of money saved. This can be put towards an emergency fund. On the other side, clients can receive high-quality, reliable work. The platform has a transparent rating system making it easy to find quality freelancers.

It's a win-win situation.

## How we built it

We got together as a team the first night to hammer out ideas. This was our second idea, and everyone on the team loved it. We all pitched in ideas for product strategy. Afterwards, we divided the work into two parts - 1) Userflows, UI Design, & Prototype; 2) Writing and Testing the Algorithm.

For the design, Figma was the main software used. The designers (Lori and Janice) used a mix iOS components and icons for speed. Stock images were taken from Unsplash and Pexels. After quickly drafting the storyboards, we created a rapid prototype. Finally, the pitch deck was made to synthesize our ideas.

For the code, Android studio was the main software used. The developers (Eunice and Zoe) together implemented the back and front-end of the MVP (minimum viable product), where Zoe developed the intelligent price prediction model in Tensorflow, and deployed the trained model on the mobile application.

## Challenges we ran into

One challenge was not having the appropriate data immediately available, which was needed to create the algorithm. On the first night, it was a challenge to quickly research and determine the types of information/factors that contribute to design fees. We had to cap off our research time to figure out the design and algorithm.

There were also technical limitations, where our team had to determine the best way to integrate the prototype with the front-end and back-end. As there was limited time and after consulting with the hackathon mentor, the developers decided to aim for the MVP instead of spending too much time and energy on turning the prototype to a real front-end. It was also difficult to integrate the machine learning algorithm to our mini app's backend, mainly because we don't have any experience with implement machine learning algorithm in java, especially as part of the back-end of a mobile app.

## Accomplishments that we're proud of

We're proud of how cohesive the project reads. As the first covid hackathon for all the team members, we were still able to communicate well and put our synergies together.

## What we learned

Although a simple platform with minimal pages, we learned that it was still possible to create an impactful app. We also learned the importance of making a plan and time line before we start, which helped us keep track of our progress and allows us to use our time more strategically.

## What's next for Bossify

Making partnerships to incentivize clients to use Bossify! #fairpayforfreelancers
## The Problem:

Inspired by our teammates' lack of knowledge in first aid administration, we address a gap in emergency medical response time for remote and underserviced locations. Currently, it takes 7 minutes for emergency medical services (EMS) to reach the scene, with the time in rural areas doubling to 14 minutes. For critical medical emergencies, such as cardiac arrest, every minute the **chances of survival decrease by 10%** making immediate intervention necessary. This is where the most crucial element to save lives comes in: the bystander. In fact, the intervention of bystanders can triple the chances of survival in instances of cardiac arrest.

Here is where another issue arises. Only 6 out of 10 people feel comfortable even attempting to perform CPR for someone in cardiac arrest. This stems from **only 3.5%** of people in the United States being trained in first-aid procedures such as cardiac arrest, and an irrational fear the bystander will inflict further damage to the victim.

## The Solution:

***The report below follows the assumption that in the next 5-10 years VR technology will be readily adopted into everyday life, by everyone. Strides in hardware will make the technology as sleek as a pair of glasses, and as common as a smartphone.***

Our novel VR and AI-based pipeline equips bystanders with the knowledge and visual guidance to perform life-saving procedures with confidence and precision. At Treehacks, we focused on creating guidance for a situation where a bystander witnesses someone seizing, which eventually escalates into cardiac arrest. Using Good Samaritan, the device passively detects a medical emergency and guides the bystander on how to care for the victim until emergency medical services arrive on the scene in order to give the victim the best chances of survival.

We provide in-depth, real-time visuals that detail:

* Real-time data streamed from a Fitbit of the victim to monitor vitals (TerraAPI)
* Facilitate proper “log-roll technique” to move an injured person
* The correct safe orientation for someone having a seizure so they don’t choke on their saliva
* The proper supporting of the head and neck to prevent paralysis
* Instruction for proper CPR with visuals on the victim’s body for where to place hands, what pace to perform compressions at, and when to give mouth-to-mouth breaths
* A live progress bar displaying the time until emergency medical services arrive on the scene

This immersive experience ensures that, without immediate professional help, the affected individuals receive the best possible care, increasing their chances of survival and recovery.

## What we are proud of, and how we built it:

Wow, we created a novel dynamic application that has the potential to save millions of lives in the future.

We programmed computer vision-based models using MediaPipe and OpenCV to perform pose detection and joint detection. We then performed linear transformations in a 3D vector space to identify and anchor the points in the Apple Vision Pro’s virtual space using real-time video from our computer vision script built onto VisionOS.

## Business Model:

$14.6 Billion Market Cap
-Work with public health departments to include the app in rural or underserved areas. The government could fund the deployment of the app as part of their mandate to improve public health infrastructure.
-Work with emergency services to integrate the app into their response protocols, providing first responders with additional information or assisting in situations where they can't reach the scene immediately.
-Apply for government grants aimed at technological innovations that improve public safety and health.
-Educational Programs: Integrate the app into educational programs, such as school safety initiatives or community health workshops, funded or supported by local or national government agencies.

## The team (4 people, 4 schools represented):

Ray- Stanford, specializes in AI and product structure
Shutaro- Columbia, specializes in immersive technologies
Shloak- UCLA, specializes in vision
Yash- Georgia Tech, specializes in medicine

## Next Steps:

This is one tangible application for Good Samaritan, though in the future we plan to have similar guiding procedures for:
-Anaphylactic shock
-Lacerations where bleeding must be managed
-Stroke
-AED’s
-Other emergency medical complications that benefit from the interference of a bystander

## Challenges we ran into:

Our expertise lay in Unity; however, Apple Vision Pro was only accessible with Unity Pro ($2,000), so we pivoted to and learned Swift. We ran into errors while translating CV’s 2D data into a 3D environment; we made use of anchoring techniques to pin the z-dimension while using the xy-dimension from CV.

## What we learned:

A ton! Applying CV’s 2D data into a 3D space, programming VR and AR on the Apple Vision Pro, and using Swift UI to develop VisionOS applications! Our pipeline is built ground up and novel—we figured it out along the way with little documentation to lean on!