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iHub's Projects

chunga.me-app icon chunga.me-app

This is a joint project between iHub, MIT Media Lab and Wildlife Worksβ€˜ local project in the corridor between Tsavo East and Tsavo West national parks. Last year the iHub hosted the MIT Media Lab for their off-site visit to Kenya. During this period, we managed to make a joint trip to Wildlife Works offices β€” located in the crucial migratory corridor between Tsavo East and Tsavo West. Our aim then was to establish what problems technology such as sensors and various software could help solve out in the poaching-affected area. We learnt a lot on this fact-finding mission β€” for example, the area to be covered spans 14 large ranches, so sensors may not be as feasible as we initially thought. We eventually settled on creating an app that would ease the data collection processes currently used by Wildlife Works rangers and embarked on developing a prototype late 2014. We have since organized multiple field trips to get more information from the intended end-users of the app: the Wildlife Works rangers and research team.

django-rest-auth icon django-rest-auth

This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication related functionality as CBV's (Class Base View) and REST (JSON)

saidika icon saidika

A simple way for ordinary citizens to get information on who to call in case of an emergency

umati-tagger icon umati-tagger

A web platform that will be used to tag data collected from social media

umaticodebase icon umaticodebase

The Umati Codebase is suite of analysis code built in R and Python for purposes of studying the propagation of inflammatory speech online. It also represents the machine translation of the Umati methodology on factors for identifying dangerous speech in Kenya

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