About the opportunity
What this programme is offering
The competition offers a total prize pool of $5,000 USD and invites data scientists, AI researchers, machine learning engineers, and natural language processing specialists to develop multilingual health-focused AI models capable of supporting underserved African communities.
The challenge specifically targets low-resource African languages where access to accurate and culturally relevant health information remains limited.
Addressing Health Information Gaps Across Africa
Across sub-Saharan Africa, millions of people continue to face barriers in accessing reliable healthcare information due to language limitations, low-resource digital ecosystems, and insufficient AI support for indigenous African languages.
While large language models and AI systems continue advancing globally, many remain heavily trained on English-language datasets. As a result, they often struggle to:
Health
Understand African languages accurately
Generate culturally appropriate responses
Handle local context effectively
Deliver fluent multilingual health communication
This challenge aims to address those limitations by encouraging participants to build multilingual health assistants capable of understanding and responding to health-related questions in African languages such as:
Luganda
Kiswahili
Akan
Amharic
The initiative focuses particularly on maternal, sexual, and reproductive health topics where access to private, trustworthy, and understandable information can significantly influence health outcomes and informed decision-making.
Machine Learning & Artificial Intelligence
The Goal of the Challenge
Participants are tasked with building multilingual AI models capable of:
Understanding health-related questions in supported African languages
Generating accurate and contextually appropriate responses
Maintaining fluency in the original language of the query
Supporting health communication in low-resource linguistic environments
The challenge uses a curated text-based dataset containing multilingual health question-and-answer pairs.
How to apply