Intelligent and Smart Cloud Based Autonomous Robotic Kitchen System

Abstract

This article discusses about the implementation mechanisms of autonomous cooking device, that cooks the dishes according to the user taste. The cooking mechanism is customized for different users using Artificial Intelligence and conventional Neural Network training algorithms. The device is capable of frying, cooking, churning applications that is embedded into a single device unlike the separate devices used in present day cooking. The prototype of implementation supports nine different ingredients which includes vegetables and liquid ingredients. Also, the software helps user to predict and manage their monthly commodities according to the cooking style, taste, quantity of dishes cooked earlier and schedule the dishes to time.