Nutritional information is crucial in assessing the quality of food products, but often, this data is presented to consumers in the form of nutritional tables, which can be challenging to comprehend.
This project aims to address this issue by developing a tool that can automatically extract nutritional information from a photograph of food product’s packaging. Leveraging deep learning techniques, our solution will encompass a machine learning model and an associated API, capable of operating in a highly multilingual context, enabling the extraction of nutritional data from photos across a wide spectrum of countries and languages. Furthermore, our tool will facilitate the presentation of nutritional information in a more user-friendly manner, such as through the implementation of the Nutri-Score system.