DARAJA +AI Sudan
Uses generative AI with NLP and text-to-speech technologies to convert complex weather forecasts into simple, spoken messages in Sudanese Arabic and local dialects. By delivering alerts through radio, mobile networks, and social media, it ensures that critical information reaches vulnerable communities quickly and in an accessible form.
DARAJA+AI for Sudan uses generative AI to support the dissemination of extreme-weather early warning(EW) to vulnerable communities. It overcomes language and literacy barriers by producing timely, understandable and actionable audio-messages customized to geographic and demographic groups. AI rapidly converts technical text-based forecasts into language/dialect-adapted audio generating variants per state/locality to support low-literacy and minority-language users. Outputs are optimized for uptake via social media, local radio and IVR. The expected impact is rapid delivery of localized warnings in Sudanese Arabic and priority local languages/dialects nationwide, improved comprehension (especially for women and youth), and strengthened community-led anticipatory-action.
Our Objectives
Operational TTS pipeline for 1 dilect and 2 local languages
reach 240,000 people (50% women/youth)
train 80 climate ambassadors