A machine learning-powered tool designed to accurately predict crop yields based on historical data, weather patterns, soil conditions, and farming practices. By integrating satellite imagery, local environmental data, and agricultural datasets, AgriCast enables farmers, researchers, and policymakers to make data-driven decisions to improve agricultural productivity and food security.