Sold on Sales

Inspiration:

We received our inspiration by the Fannie Mae flyers and the talk given by the Fannie Mae employees during the opening ceremony.

What it does:

Sold on Sales analyzes data about housing and the factors that determine whether selling a certain house is a good idea or a bad idea based on

How we built it:

We used Javascript and HTML to code the base website and used CSS to make it look nicer. We then switched to Java after realizing it better suited our solution to the problem. Implementing a new solution and using the CSS from before, we were able to create a website which takes inputs and outputs whether the interactions are beneficial or detrimental to the seller.

Challenges we ran into:

One of the challenges we met was extracting data from JSON. The specific challenge that we met was the inability to download the data and change it into Java. This is because the formatting while in theory should be easy to extract, proved challenging in its implementation. The second challenge we met was setting up a GUI with the Java libraries. This came after the switch from Javascript and HTML, causing delays in transporting it.

Accomplishments that we're proud of:

Our group managed to export and analyze 5,000 relative data points and produced a comprehensible analysis of these data points.

What we learned:

We learned about different programming languages and how to style them using CSS. We gained a deeper understanding of arrays and built and reinforced knowledge of matrices. We also learned about collaboration while coding. Less related to coding, we learned how to efficiently analyze data and draw from it the relevant information that we would need.

What's next for Sold for Sales

We believe that we should add more variables to better assess the different needs of a neighborhood and how these different factors affect the price of a house.

Built With

api's
css
java
maven

Submitted to

HooHacks

Created by

This is my first hackthon, and the first time I used Java, which proved challenging. I worked on the code of the averages of all of our data. I also contributed to designing the layout of the website in CSS, which was new for me and a fun and challenging experience.

sena-flo
Because this was my first time coding in Java and attending a hackathon, I was not able to provide the most help I could. I worked on sorting the data acquired from the API's from the Fannie Mae website. For example, I found the averages and ranges of the data. On top of that, I also helped find the definitions of the financial terms. I also helped my team members look over and add code.

eyu12052003
This was my first hackathon and my first time using java, so it was rather difficult, although, I did learn by watching my experience partner and used my background to help proof the code. I also used css to make our code look better than a blank black and white screen. In addition to that, whenever repeated lines of code would be added to our code, I would help streamline the process by typing out some of the results. I was also moral support!

bennot
Jason Yi

Updates

Jason Yi started this project — Mar 03, 2019 08:59 AM EST

Leave feedback in the comments!

Log in or sign up for Devpost to join the conversation.