NutriSight: Difference between revisions
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'''Project notes''': https://docs.google.com/document/d/1kBcjxScTOim4wU1VRVW7WOP0Jo1plLQU3xV5-j55MyM/edit?usp=sharing | '''Project notes''': https://docs.google.com/document/d/1kBcjxScTOim4wU1VRVW7WOP0Jo1plLQU3xV5-j55MyM/edit?usp=sharing | ||
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Latest revision as of 09:08, 20 August 2024
Overview
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, the 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.
Project information
This project is funded by the European Union’s Horizon Europe research and innovation action program through DRG4Food open call.
Status: in progress
Start date: May 2024
End date: April 2025
Project lead: Raphaël B
Project notes: https://docs.google.com/document/d/1kBcjxScTOim4wU1VRVW7WOP0Jo1plLQU3xV5-j55MyM/edit?usp=sharing