Smart Chef: Design and Implementation of an AI-Powered Kitchen Assistant System

Smart Chef refers to artificially intelligent assistant built for the kitchen to aid users in understanding recipes, accessing ingredients information, helping with shopping activities as well as assisting in cooking processes. Smart chef provides a Natural Language Processing backed recipe parsing mechanism, structured recipe dataset, and frontend as website for end to end experience. The survey paper on Smart Chef highlighted shortcomings of current solutions like lacking multimodal inputs, personalization, synchronization and smart shopping capabilities. This paper serves as an implementation description of the proposed solution discussed in the survey providing readers with an overview of design considerations, architectural decisions, modules and preliminary results of prototype developed focusing on ingredient extraction, smart shopping lists, recipe assistance and user workflow towards building an implementable solution for assisting with daily cooking activities. We employed a stack consisting of frontend, backend, AI and cloud datastore to build our responsive web based smart kitchen assistant. Our preliminary results as described in our Implementation Draft showcased great potential with our ingredient extraction providing a 94% accuracy, 2.3 seconds average runtime and positive initial feedback from users. In this paper we provide a short and focused implementation detail of Smart Chef compatible with IJARST guidelines[1].