Food and agriculture account for 26% of total global greenhouse gas (GHG) emissions, according to research from Project Drawdown. Consequently, our everyday food choices can significantly impact the fight against climate change. This study aims to empower consumers with the information needed to make environmentally responsible and nutritionally informed food choices. Due to the lack of transparency in proprietary recipe information on food products, assessing their emission impact is challenging. To address this, we employ an open-source model, LLaMA3, to approximate the recipes of various food products. We then create a comprehensive emissions database for these products. Additionally, we calculate a nutrition score for each product using the updated NutriScore system. By combining GHG emissions data with nutritional scores, we provide a holistic view that helps consumers make more sustainable and health-conscious decisions.
Keywords: Food Label, LLaMA3, NutriScore, Food Emissions
Abstract:
Archival Submission: arxival
Submission Number: 27
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