James Muganzi

This AI-powered climate risk and crop yield prediction system helps communities anticipate droughts, floods, hunger, and food production challenges using natural language queries and machine learning models. Designed for low-resource environments, users interact via a simple NLP-based interface to receive actionable forecasts tailored to their region and time frame. The MVP is live, with real use underway, and aims to scale across Africa to support farmers, disaster agencies, and policymakers in building climate resilience and ensuring food security especially for marginalized and vulnerable populations.