Self-Attention Architecture for Ingredients Generation from Food Images

Food filming is becoming more popular among food connoisseurs. Each meal has a narrative that is detailed in a lengthy recipe, and sadly, just looking at a dish provides no insight into the preparation of food. There are various websites that aid in recognizing a meal by its components; however, no method has been successful at forecasting the ingredients in a dish. As a consequence, this research proposes a method for automatically generating the dish's recipe. This approach estimates the image's title and ingredients and then generates the image's featured meal's specific cooking instructions. This investigation looked at a range of Indian cuisines, including lunch and breakfast. To enhance user-friendly, this paper provides a web application that displays the recipe with a photograph of the dish.