Artificial Intelligence (AI) is a mathematical tool which has features like human intelligence to solve various complex problems. It has the ability to act rationally and take decisions at a faster speed. This tool has application in almost every aspect of human lives. This paper takes up the food process modeling using AI as this is novel and relatively complex. AI has applications in various food processing plant operations, viz., theory development using intelligent functions for adaptation, machine learning, classification, and prediction etc. Because of the model’s parallel architecture, it performs quickly and because it has a quick computation time, it is suitable for use in real-time systems for a range of food processing activities. This study discusses some AI applications for modelling nonlinear food engineering challenges. Extraction, drying, filtration, fermentation, baking, dairy processing, and quality evaluation were all examined. Although AI has applications in almost all food materials, it has very less contribution in Millets. Different analytical tests available for this food grain are discussed in this paper along with the identification of major research gaps.