Zindi has officially launched the Multilingual Health Question Answering in Low-Resource African Languages Challenge in partnership with the International Telecommunication Union and the Hub for Artificial Intelligence in Maternal, Sexual and Reproductive Health (HASH). 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: 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. 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. Successful models could eventually support: Community health workers Rural clinic systems Patient education platforms AI-powered health assistants Digital public health initiatives About HASH: Driving AI Innovation in African Health Systems The challenge is supported by the Hub for Artificial Intelligence in Maternal, Sexual and Reproductive Health (HASH), a multidisciplinary consortium bringing together experts from: Public health Artificial intelligence Data science Computer science Social sciences Healthcare systems HASH includes collaboration between institutions such as: Infectious Disease Institute (IDI) Makerere University Makerere Centre for Artificial Intelligence (MAK-AI) Sunbird AI The consortium focuses on four major research priority areas: Maternal health HIV Sexually transmitted infections Adolescent sexual and reproductive health The initiative aims to strengthen locally grounded AI solutions tailored specifically for African healthcare systems and communities. Competition Timeline The challenge officially opened on 30 April 2026 and will close on 21 June 2026. Important dates include: Competition launch: 30 April 2026 Submission deadline: 21 June 2026 Private leaderboard reveal: 22 June 2026 Participants are also encouraged to attend the challenge webinar scheduled for 20 May 2026 from 6:00 PM to 7:00 PM GMT+2. Evaluation Metrics The first phase of the competition uses a multi-metric evaluation framework combining lexical overlap, structural similarity, and AI-assisted judgment. The leaderboard score is based on: ROUGE-1 F1 — 37% ROUGE-L F1 — 37% LLM-as-a-Judge — 26% Understanding the Metrics ROUGE-1 F1 evaluates: Word overlap Keyword matching Basic content similarity ROUGE-L F1 measures: Sentence structure alignment Longest common subsequence similarity Fluency consistency LLM-as-a-Judge evaluates: Factual accuracy Completeness Language appropriateness Contextual quality During the second phase, submissions will additionally be assessed using AfroLM BertScore F1, a semantic similarity metric powered by AfroLM, a multilingual transformer pretrained on 23 African languages. Prize Pool and Recognition The competition offers: First Prize: $2,500 USD Second Prize: $1,500 USD Third Prize: $1,000 USD Participants can also earn 5,000 Zindi points through the challenge leaderboard system. Rules and Participation Guidelines The competition is open globally and allows participation either individually or in teams of up to four members. Key rules include: Maximum of 5 submissions per day Maximum of 50 total submissions Open-source tools and languages only No automated machine learning tools permitted Publicly available pretrained models allowed Code sharing outside teams prohibited Top-performing participants on the private leaderboard will be required to submit: Model code Technical reports Documentation for reproducibility review Why This Challenge Matters The challenge highlights the growing importance of developing AI systems that reflect Africa’s linguistic diversity and healthcare realities. As AI increasingly shapes healthcare access, education, and communication globally, low-resource African languages risk being excluded from technological advancements without intentional investment and innovation. This initiative encourages the development of inclusive AI systems capable of: Supporting underserved communities Improving health literacy Expanding multilingual healthcare access Strengthening locally relevant AI innovation For African AI researchers, data scientists, and machine learning practitioners, the competition presents both a technical challenge and an opportunity to contribute toward socially impactful innovation. Growing Africa’s AI Ecosystem Zindi continues to position itself as one of Africa’s leading platforms for data science competitions and AI talent development. By hosting challenges focused on real-world African problems, the platform helps connect researchers, developers, and innovators to opportunities that combine technical excellence with meaningful social impact. The Multilingual Health Question Answering Challenge reflects the increasing role of AI in addressing public health challenges while advancing African-centered technological development. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.