Hackathon Projects from Brown University Recap

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Hack at Brown 2016 Recap
 
We did a recap at Hack At Brown - which is a hackathon at Brown University that runs in February every year.  This year they had over 400 students, from many different countries coming together to meet new people and spending the weekend building projects, experiments and realizing ideas. We interviewed some of the top projects from the Hackathon - which had a lot of projects using VR, Unity, Node.js, the Microsoft Band and the Project Oxford API.
 
Summary of Projects
 
[01:19] Port.ly
Port.ly is an iOS application that takes the stress out of flight-day transportation. Simply input your flight number and enjoy automatic-scheduled rides to and from the airport. Using an Azure backend, FlightAware's live flight tracking data and the Uber API, we schedule a ride to get you to the airport on time and one to be there for you when you land, regardless of flight delays.
 
Team:
Matt Cooper
Jake Beck
Zoë Papakipos
Lael Costa
Martha Edwards
 
[01:42]hoMEostatus
 
Track your health and get real time analytics and notifications on certain inputs from the Microsoft Band.
 
Is your child in the sun? As a parent, you could use hoMEostatus to monitor exposure using the UV sensor, skin temperature and even resulting heart rate in real time, without even being in the same place. Are you an older person living alone? Alert a loved one if you have fallen, by analyzing abnormal changes to spacial velocity, heart rate and skin temperature. 
 
Team:
Francesco D'Amato
Atul Pal
Ashley Conard
Mohar Kalra
Yong Kwon
Shannon Peng
 
[05:10]Happy Heart 
Happy Heart is a series of applications that allows users to keep track of their emotions throughout the day based on their changing heart rates. After researching the correlation between mood and heart rate, we were able to find heart rate ranges that signify what emotion they experienced.
 
The Microsoft Band connects to the Happy Heart iOS application. The Band feeds live heart rate data to the application and allow users to personalize their data. At this point, the application will determine which mood the user are experiencing every half an hour and notify the user to write a message indicating what they were experiencing during that time(i.e. they are happy because they won a soccer game). All data is stored in the cloud, and is pushed from MongoDb. D3 and Beaker  are used to create a visualization of the user's heart rate compared to time of day. At this point the web application determines what the average mood of the day was and then will make a recommendation to change the mood to the desired mood. So, for example, if the day averages depressed, the application will recommend to watch a video of puppies and link straight to it. 
 
Team:
Caeley Looney
 
Funder
Streamline the first meeting between a startup founder and an investor with Funder, which makes those connections quick and easy for both parties, using a swipe system similar to Tinder. Record your pitch, upload it and wait for matches from potential investors. Or, as an investor, browse through the pitches and see what piques your curiosity. Evan, Christian and Oscar also have their own company Setmusic.
 
Team:
Oscar Lafarga
 
[09:37]Rox Star
Rox Star is a virtual reality karaoke experience with an immersive, reactive environment and professional vocal effects. Built with Unity and Reaper, this software leverages technologies such as virtual reality, motion tracking, and computer graphics to bring karaoke into this century!
 
Team:
 
[12:11]Dankit
Stop searching for the perfect gif for how you are feeling at this very moment with Dankit. Using the Project Oxford API, this application takes your picture, analyzes it for emotion and then uses the Giphy API to give you a gif based on the emotion. With both a mobile site and a cross platform application developed in Cordova, you will never fail to find the perfect gif. 
 
Team
Samantha Voigt
 
[13:16]Remember Me
For those awkward moments when you struggle to remember someone's name - Remember Me helps you be the ultimate networker in the room. Remember Me takes an image of the person you can't remember and uses the Project Oxford API to analyze the image to find the person in your Linked In. You are given the person's name and a single piece of information to use as an icebreaker for them as a notification on the Microsoft Band to keep your memory loss a bit more discreet.
 
Team:
 
 
[14:09]Myo Band 
Fuel the feud between who is the best sharpshooter in the league - Steph Curry or Lebron James? This Myo Band enabled WebGL game puts you in the shoes of one of these legends, using the data from the Myo to simulate arm and ball movement as you try to sink all of the shots. Node.js is leveraged to grab and shepherd data from the server side to the client with the help of a little socket.io
 
Team
Sam Johnson
Ryan Kalla
Michael Chang
Dora Chu
 
 
 
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