Difference between revisions of "NutriSight"

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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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== Key dates and numbers ==
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== Why it matters ==
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== What we’ve done recently ==
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== What we are currently working on ==
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== What’s coming up next ==
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== How to get involved ==
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[[Category:Project]]
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[[Category:Artificial Intelligence]]

Latest revision as of 19:33, 2 September 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

Key dates and numbers

Why it matters

What we’ve done recently

What we are currently working on

What’s coming up next

How to get involved