Projects

We built a powerful forecasting dashboard using Streamlit and Python that predicts product demand trends. It uses time series models (ARIMA, Prophet) and presents results with interactive plots. 👉 Check this out Tech Used: Streamlit, Python, Pandas, ARIMA, Prophet Client: Local Retail Chain Impact: Reduced inventory overstock by 23%

Artificial Intelligence (AI) is reshaping African agriculture — from smart soil testing to predicting harvest cycles. These tools help farmers make data-driven decisions and increase yields. In regions where weather and resource constraints are critical, AI gives farmers better forecasting and real-time insights for planting, fertilizing, and harvesting. Governments and agribusinesses that invest in AI are giving small-scale farmers the competitive edge they need to feed the continent sustainably.