Monthly Archives: December 2011

BrainTripping at NodeJS Hackathon

iLanguageLab members Gina, Emmy and Hisako helped with the data for BrainTripping at last weeks NodeJS Hackathon.

BrainTripping is an artistic interpretation of famous people’s words, with the user invited to mix words of what Jesus, Charles Darwin or Paul Graham said and wrote. Matthew Huebert (@geoshift) had a first glimpse of the idea back at the Disrupt Hackathon, and amazingly, found a team of linguists at the hackathon, who worked on the corpus, data analysis.

Braintripping is a collaboration between your ideas and the words of famous people.
Braintripping is a collaboration between your ideas and the words of famous people.

The Bacteria Detecto Droid wins at Montreal RHOK

    iLanguageLab member Gina was part of the “Bacteria Detecto Droid” team which won best use of technology at Random Hacks of Kindness Montreal. Check it out in the 24 Heures!

    …un des deux projets gagnants, un laboratoire bactériologique portable. «C’est une application pour téléphone intelligent qui détecte les bactéries présentes dans l’eau, a-t-il expliqué. Elle est capable de dire si l’eau est dangereuse ou non. Le système accumule les données pour produire une carte».

    «On a montré que ça pouvait être fait par un téléphone, s’est réjoui M. Grassick. Ce n’est pas cher et ça peut être utilisé par des locaux dans des pays en développement.»

    The project was one of over 30 winning RHOK projects around the world, we were also mentioned in the The World article “Geeks without Borders”!

    Other projects were equally ambitious. In Portland, developers created an application to allow medical workers to track disease outbreaks in real-time. In Bangalore, hackers built a job database for unskilled workers. In Montreal, developers created an app that can scan a microscopic photo of bacteria taken from water to test for drinking safety—a key tool for poorer countries.

    The code uses OpenCV, an Computer Vision library to process the images on the Android Client, check out the code on GitHub.