eKichabi v2 is a searchable directory of 9,833 agriculture-related enterprises developed for feature-phone and smartphone users in rural Tanzania. This sanitized research release contains the Django server, Android application, and analysis supporting our CHI 2024 paper (watch the video here). User data, credentials, and other sensitive information have been removed.
Try an interactive demo on my blog.
A digital phonebook to connect subsistence farmers in Tanzania. Works via USSD so farmers without an internet connection can use it (via their Telecom). Built with Django in Python.
An Android application for retrieving contact information for enterprises in rural Tanzania. Built in Java 11.0.2 with a minimum Android SDK of 21. We follow a Model-View-ViewModel pattern, with a central Activity, a central ViewModel, and a variety of Fragments and corresponding supporting classes.
A collection of Jupyter notebooks for analyzing the data collected from the eKichabi v2 user study. The notebooks are written in Python 3.8.5 and use the Pandas library for data manipulation and Matplotlib for data visualization.
