This study explores the application of Convolutional Neural Networks (CNNs) in advancing food engineering, specifically focusing on product development. Utilizing the visual processing capabilities of CNNs, the research delves into analyzing food product characteristics such as texture, shape, and color, which are critical in determining consumer appeal and product success.