Nazirini's Story
Using machine learning to tackle crop disease
An incredible human story of the Ugandan developer, Nazirini Siraji, and the app created by her small team in Mbale, Uganda, with learning from their local Google Developer Group community. Harnessing the power of TensorFlow and Machine Learning, this free app helps farmers identify and treat Fall Armyworm, reducing the massive crop devastation currently impacting Uganda and Africa. Read more.
"At a Google Study Jam, we taught ourselves TensorFlow. We started by building an Android app on top of an open-source API. The app allows farmers to spot infestations early, far beyond the capability of human eyes. And this was when we realized, Machine Learning was the key to helping farmers."
-- Nazirini Siraji
Software Developer
Software Developer
Helpful resources for getting started
LEARN / COURSE / ANDROID / COMPOSE
Android Basics with Compose
In this course, you'll learn the basics of building Android apps with Jetpack Compose, the new UI toolkit for building Android apps. Along the way, you'll develop a collection of apps to start your journey as an Android developer.
LEARN / TENSORFLOW
Basics of machine learning
This content is intended to guide developers new to ML through the beginning stages of their ML journey. You will see that many of the resources use TensorFlow, however, the knowledge is transferable to other machine learning frameworks.
LEARN / PATHWAY / FLUTTER
Build apps with Flutter
Learn to build beautiful, natively compiled desktop, mobile, and web applications from a single codebase with Flutter.
Stories from the community
Be inspired by all the clever ways developers are using Google technology to push their ideas further