In the quiet farmlands of central Malawi, where advice once passed from grandmother to granddaughter under the shade of mango trees, a new kind of helper has joined the conversation and it speaks Chichewa, the ethnic language.
Meet Ulangizi AI, a digital farm adviser that combines ChatGPT’s intelligence with Malawian government data and generations of traditional know-how. Its name means – advice, and for farmers like Alifosina Mtseteka, it has become a lifeline.
When aphids and drought attacked Mtseteka’s okra crop, her family’s main food source, no one in her village could help. Then her daughters introduced her to Ulangizi. A neighbor spoke her problem into a phone and a calm Chichewa voice replied: use this insecticide. Days later, her crop revived. “I bought the chemicals and sprayed them, and the okra became healthy again” – says Mtseteka, who lives with her husband and grandchildren in Chisemphere village. A revolutionizing digital voice for the agro fields in Malawi.
Developed by the UK nonprofit Opportunity International, Ulangizi AI is designed for Malawi’s millions of small-scale farmers who have limited access to agricultural officers. With only one officer for every 3,000 farmers, many rural families rely on oral tradition or delayed government outreach.
The AI system fills this gap, answering voice or text questions on WhatsApp, analyzing crop photos, and even offering livestock care tips. The Ulangizi AI tech was built on ChatGPT’s architecture but trained in Chichewa. Though, it was a major challenge given how little of the language exists online.
Paul Essene, a lead officer at Opportunity International’s digital innovation, explained that – “the most effective driver of usage is on-the-ground training, using a human in the loop model”. Local field agents are designated to help farmers learn to trust the tool and interpret its advice. Connecting the dots, where tradoculture meets technology.
In a culture where knowledge has long been shared communally, Ulangizi AI is reshaping how wisdom travels. Elders who once relied on memory now consult an algorithm. Yet the transition feels less like a disruption than a partnership. “This is not replacing tradition,” – cleared by Emmanuel Kaunda, vice chancellor at Lilongwe University of Agriculture. He said – “It’s digitizing it, by giving local wisdom a louder voice”. However, the voice must keep learning. AI models require constant updates to track changing pest patterns, rainfall shifts and new diseases driven by climate change. Webbing a hub of social and family ripples.
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