In today’s modern food landscape, understanding the true content and impact of ingredients in packaged foods poses a significant challenge for consumers worldwide. The intricate nature of food labels, often filled with ambiguous terminology and complex information, creates barriers that hinder individuals from making informed dietary choices. This obstacle becomes even more pronounced in today’s modern marketplace, where a plethora of food options vies for consumers’ attention. Our vision is to revolutionize the way people interact with packaged foods, bridging the gap between complex labels and consumer understanding. The comprehensive solution leveraging advanced technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and the BERT (Bidirectional Encoder Representations from Transformers) model. Our Paper aims to empower consumers with accessible, accurate, and personalized information, fostering informed decision-making and promoting healthier dietary choices.

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Empowering Consumers Through Advanced Technology: A Streamlit Web App Enabled Solution Leveraging OCR and BERT for Understanding Packaged Food Ingredients

  • K. Suresh Kumar,
  • S. Jayaseelan,
  • P. James Robin Raj,
  • T. Felix Kevin Singh,
  • M. Karthi,
  • B. N. Kalpana

摘要

In today’s modern food landscape, understanding the true content and impact of ingredients in packaged foods poses a significant challenge for consumers worldwide. The intricate nature of food labels, often filled with ambiguous terminology and complex information, creates barriers that hinder individuals from making informed dietary choices. This obstacle becomes even more pronounced in today’s modern marketplace, where a plethora of food options vies for consumers’ attention. Our vision is to revolutionize the way people interact with packaged foods, bridging the gap between complex labels and consumer understanding. The comprehensive solution leveraging advanced technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and the BERT (Bidirectional Encoder Representations from Transformers) model. Our Paper aims to empower consumers with accessible, accurate, and personalized information, fostering informed decision-making and promoting healthier dietary choices.