A Smart Recipe Recommendation System Based on Image Processing and Deep Learning

While technology facilitates our lives, it also allows us to lead a quality, efficient energy and to do more productive work in less time. One of our basic needs that takes our time is to eat. One of the problems people face is, "What can I cook today?'' It is the question. The Smart Recipe Suggestion System (SRSS) is a system that can make food recommendations to the person with the materials available. This system is designed as a mobile application, including the deep learning method, to answer people's questions during the day. This paper proposes an approach that recognizes the person's materials with image processing technology and presents the most suitable meal suggestions to be made with those materials. Recipes are collected from web sites through RabbitMQ. Food items are captured from images by using object detection processes through deep learning. Available food items are modeled as NoSQL and stored to MongoDB document based databases. For the real-world application Firebase mobile cloud platform is used.