## Inspiration

Insurance Companies spend millions of dollars on carrying marketing campaigns to attract customers and sell their policies.These marketing campaigns involve giving people promotional offers, reaching out to them via mass marketing like email, flyers etc., these marketing campaigns usually last for few months to almost years and the results of such huge campaigns are inedible when raw.

## What it does

Intellisurance visualizes such campaign data and allows the insurance companies to understand and digest such data. These visualizations help the company decide whom to target next, how to grow their business? and what kind of campaigns or best media practices to reach to a majority of their potential customer base.

## How we built it

We wanted to give the insurance companies a clear overview of how their past marketing campaigns were, the pros , the cons, the ways to target a more specific group, the best practices etc. We also give information of how they gained customers over the period. Most key factor being the geographic location, we chose to display it over a map.

## Challenges we ran into

When we are dealing with the insurance campaign data we are dealing with millions of rows, compressing that data into usable information.

## Accomplishments that we're proud of

This part was the most challenging part where we pulled really necessary data and had algorithms to help users experience almost no lag while using the application.
## Inspiration

I was interested in exploring the health datasets given by John Snow Labs in order to give users the ability to explore meaningful datasets. The datasets selected were Vaccination Data Immunization Kindergarten Students 2011 to 2014, Mammography Data from Breast Cancer Surveillance Consortium, 2014 State Occupational Employment and Wage Estimate dataset from the Bureau of Labor Statistics, and Mental Health Data from the CDC and Behavioral Risk Factor Surveillance System.

Vaccinations are crucial to ending health diseases as well as deter mortality and morbidity rates and has the potential to save future generations from serious disease. By visualization the dataset, users are able to better understand the current state of vaccinations and help to create policies to improve struggling states. Mammography is equally important in preventing health risks. Mental health is an important fact in determining the well-being of a state. Similarly, the visualization allows users to better understand correlations between preventative steps and cancerous outcomes.

## What it does

The data visualization allows users to observe possible impacts of preventative steps on breast cancer formation and the current state of immunizations for kindergarten students and mental health in the US. Using this data, we can analyze specific state and national trends and look at interesting relationships they may have on one another.

## How I built it

The web application's backend used node and express. The data visualizations and data processing used d3. Specific d3 packages allowed to map and spatial visualizations using network/node analysis. D3 allowed for interactivity between the user and visualization, which allows for more sophisticated exploration of the datasets.

## Challenges I ran into

Searching through the John Snow Labs datasets required a lot of time. Further processing and finding the best way to visualize the data took much of my time as some datasets included over 40,000 entries! Working d3 also took awhile to understand.

## Accomplishments that I'm proud of

In the end, I created a working prototype that visualizes significant data that may help a user understand a complex dataset. I learned a lot more about d3 and building effective data visualizations in a very constrained amount of time.

## What I learned

I learned a lot more about d3 and building effective data visualizations in a very constrained amount of time.

## What's next for Finder

I hope to add more interaction for users, such as allowing them to upload their own dataset to explore their data.
## 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.