FoodPrint: Emissions and Nutrition Analysis of Food Products with LLaMA3

ACL 2024 Workshop ClimateNLP Submission27 Authors

25 May 2024 (modified: 18 Jun 2024)Submitted to ClimateNLP 2024EveryoneRevisionsBibTeXCC BY 4.0
Keywords: Food Label, LLaMA3, NutriScore, Food Emissions
Abstract:

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.

Archival Submission: arxival
Submission Number: 27
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