The teams were locked; a record amount of soda, pizza, and food was consumed and hundreds of new IBM Watson applications explored.
The first-ever IBM Watson Hackathon, in partnership with NUI Central marked new territory for the developer community. Set in Brooklyn’s Duggal Greenhouse, teams water taxied, Ubered and trekked their way to the two tents that would house them for two days of coding. Guided by IBM experts and mentors, devs from all over used Watson to develop apps.
Meet the judges:
After 36 hours of intense hacking, 32 teams submitted apps and presented 5-minute pitches to a room full of coders, entrepreneurs, IBM’ers and more. And these weren’t your average, run-of the-mill applications either. From event networking and facial recognition to customer pathing and smoking cessation, teams proved that they had the creativity and innovation to tackle the challenge.
In fact, take a tour of all #1stWatsonHack submissions:
It was a tough competition, but our judges deliberated and landed on three winning IBM Watson apps.
1st place Likemind
Naushad, Sam and Asher developed an app that uses location and published tweets to connect nearby users
based on personality match and interest match scores. The app uses IBM Personality Insights API and Alchemy API to make the initial matches.
2nd place NYC School Finder
Kevin, Angus, Jeronimo, and Kenny built a tool that uses the IBM Watson Personality insights to analyze students’ personalities and then finds schools with similar “personality” traits. The team used Watson Tradeoff Analytics to allow parents to compare schools.
3rd place Fetch
Phillip, Valarie and Somya created Fetch, a speech to text tool that can extract content from a PDF, using Alchemy API and produce an analysis of keywords, main concepts etc. Queries of different content sources are run and those results load into the app.