The agricultural sector, particularly the onion market, faces significant challenges due to fluctuations and uncertainties in demand and supply. These variations can lead to either surplus or shortage, affecting prices and stability in the market. The problem lies in the current inability to accurately predict these changes in demand and supply. This project aims to develop an artificial intelligence (AI)-based forecast model specifically for the onion market. The model would utilize historical data, market trends, environmental factors, and consumer behavior to predict future demand and supply with greater accuracy. The challenge is to create a reliable, adaptive, and efficient AI model that can handle the complex variables influencing the onion market, ultimately leading to more stable pricing, reduced waste, and improved economic outcomes for both producers and consumers.