## Inspiration

One of our team members was in the evacuation warning zone for the raging California fires in the Bay Area just a few weeks ago. Part of their family's preparation for this disaster included the tiresome, tedious, time-sensitive process of listing every item in their house for insurance claims in the event that it's burned down. This process took upwards of 15 hours between 3 people working on it and even then many items were missed an unaccounted for. Claim Cart is here to help!

## What it does

Problems Solved

(1) Families often have many belongings they don’t account for. It’s time intensive and inconvenient to coordinate, maintain, and update extensive lists of household items. Listing mundane, forgotten items can potentially add thousands of dollars to their insurance.

(2) Insurance companies have private master lists of the most commonly used items and what the cheapest viable replacements are. Families are losing out on thousands of dollars because their claims don’t state the actual brand or price of their items. For example, if a family listed “toaster”, they would get $5 (the cheapest alternative), but if they listed “stainless steel - high end toaster: $35” they might get $30 instead.

Claim Cart has two main value propositions: time and money. It is significantly faster to take a picture of your items than manually entering every object in. It’s also more efficient for members to collaborate on making a family master list.

## Challenges I ran into

Our team was split between 3 different time zones, so communication and coordination was a challenge!

## Accomplishments that I'm proud of

For three of our members, PennApps was their first hackathon. It was a great experience building our first hack!

## What's next for Claim Cart

In the future, we will make Claim Cart available to people on all platforms.
## Inspiration

After witnessing countless victims of home disasters like robberies and hurricanes, we decided, there must be a way to preemptively check against such events. It's far too easy to wait until something bad happens to your home before doing anything to prevent it from happening again. That's how we came up with a way to incentivize people taking the steps to protect their homes against likely threats.

## What it does

Insura revolutionizes the ways to keep your home safe. Based on your location and historical data of items that typically fall under home insurance (burglary, flooding, etc.), Insura will suggest items for fixes around the house, calculating potential premium savings if done properly. With the click of a button, you can see what needs to be done around the house to collect big savings and protect your home from future damage. Insura also connects with a user's insurance provider to allow for users to send emails to insurance providers detailing the work that was done, backed by pictures of the work. Based on this insurance providers can charge premium prices as they see fit.

To incentivize taking active steps to make changes, Insura "gamified" home repair, by allowing people to set goals for task completion, and letting you compete with friends based on the savings they are achieving. The return on investment is therefore crowdsourced; by seeing what your friends are saving on certain fixes around the house, you can determine whether the fix is worth doing.

## How I built it

To build the application we mainly used swift to build the UI and logic for displaying tasks and goals. We also created a server using Node to handle the mail to insurance providers. We used to heroku to deploy the application.

## Challenges I ran into

We had a hard time finding free APIs for national crime and disaster data and integrating them into the application. In addition, we had a tough time authenticating users to send emails from their accounts.

## Accomplishments that I'm proud of

We are really proud of the way the UI looks. We took the time to design everything beforehand, and the outcome was great.

## What I learned

We learned a lot about iOS development, how to integrate the backend and frontend on the iOS application, and more about the complicated world of insurance.

## What's next for Insura

Next we plan on introducing heatmaps and map views to make the full use of our API and so that users can see what is going on locally.
## Inspiration

This project was inspired by the "Automatic Bullseye, Moving Dartboard" project courtesy of former NASA mechanical engineer and popular Youtuber, Mark Rober. Also a tribute to the late, great. 5-time NBA champion and legend, Kobe Bean Bryant.

## What it does

The premise of the project is to detect then predict the movement of a projectile using computer vision and kinematics.

## How I built it

This was built primarily using arduino and opencv programs. An Arduino Uno for the motor control while the camera data was processed directly on a computer due to a lack of raspberry pis being available to us.

## Challenges I ran into

One of the major issues we ran into was integrating the arduino, python and opencv programs and ensuring they run efficiently so that the net has enough time to react to the ball.

## Accomplishments that I'm proud of

We are really proud of the learning experience and being able to work on a fun project like this, with equally challenging software and hardware obstacles. Optimizing the system was really important and we're really proud of the work we did to achieve this.

## What I learned

Throughout, we learned a lot about machine learning, data/image processing and computer vision.

## What's next for Auto-Swish Money Hoop

The next step would be to increase the degrees of motion of the hoop to 2 axes. The use of 2 cameras would allow us to track the coordinates of the ball in three-axes, which would allow us to throw the ball into the net and have it self-correct accurately.