Implementation of Health Impact Assessment of Packaged Foods through Nutritional Label Recognition using OCR

Abstract

High food processing, in combination with the increase in people living an unhealthy lifestyle, has contributed to a rising rate of diet-related diseases like obesity, diabetes, heart disease, and hypertension. Because of illiteracy of food ingredients, consumers choosing wrong product which worsen their health balance. In this study, an AI-powered solution that employs text extraction and natural language processing (NLP) is presented for the analysis of food ingredients and assessments of the effects those ingredients have on health. The work allows a user to scan food packaging and will instantly provide a comprehensive review of the nutritional content and potential health effects of each ingredient used. This study help user to avoid health problems causing due to processed ingredients. By providing health insights, this study holds a good chance of hugely contributing to public health and nurturing healthy eating habits around the world.