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Portrait of Yazmine Bouzid
Graduate Student Researcher

Yazmine Bouzid

Graduate Student Researcher

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Project Involvement

AI-generated illustration of hands holding a smartphone with food and technology icons flowing from the screen, and people in the background using digital devices.
Year 1

Prediction of Glycan Content from Real-World Food Diaries

The project aims to address the challenges in assessing the effects of diet on human health by developing AI-assisted methods for real-time capture of diet and predicting the glycan content in images of mixed meals from real-world food diaries to enhance understanding of the impact on the gut microbiome.

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#Core AI Technologies#Nutrition
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AIFS Publications

  • A thumbnail of the journal or conference cover of Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment
    Journal Article ⏐ Nutrients 2023Journal Article ⏐ Nutrients 2023
    Publication page for Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment

    Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment

    Larke, Jules A,Elizabeth L Chin,Yazmine Bouzid,Tu Nguyen,Yael Vainberg,Dong H Lee,Hamed Pirsiavash,Jennifer T Smilowitz,and Danielle G Lemay
    DOI: 10.3390/nu15234972
    Publication page for Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment

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AI Institute for Next Generation Food Systems (AIFS) is supported by the United States Department of Agriculture – National Institute of Food and Agriculture and award #2020-67021-32855 in collaboration with the National Science Foundation. AIFS manages the AI Institutes Virtual Organization (AIVO) under grants 2231251, and 2332864, 2437003, and 2528968 from the National Science Foundation, as well as a Google.org grant.

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aifs@ucdavis.edu

530-760-9739

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