Hackathon Scrapes

Inspiration

Our Team is made up of 4 Stony Brook students interested in hackathons. We have noticed the obvious lack of student-run hackathons on our campus. The history of student-run hackathons at Stony Brook has been something not as successful as most of us students would like it to be. In a pursuit to learn and understand more about how students/hacakthon enthusiasts can create long lasting hackathons, we have decided to visualize the history of hackathons in the past few years and relate it to geo-location, and to analyze.

What it does

Visualize Trends across Hackathons by MLH
Provide different features including reward money and number of hacker submissions
Expose the Data we scrapped via AWS

How I built it

We implemented web scraping to gather data about hackathons and used esri among other ways to display, visualize, and analyze the data we collected about hackathons.

Challenges I ran into

The Esri API was difficult to get used to. There is not a lot of data out there about hackathon that is easily accessible - we relied on web scraping in order to get the data we needed.

Accomplishments that I'm proud of

We scraped a lot of data off mlh.io and devpost.

What I learned

Web Scraping Data Visualization Amazon AWS

What's next for Hackathon Scrapes

Measure success of a hackathon (a start at creating a possible quantifier)
If we are able to get more data about hackathons, i.e. how many hackers attended
Different esri feature layers for more analysis
Integrate more non-MLH hackathons into the mix
Develop a better API to help share hackathon data for other users to use