Although packaged foods are generally considered safe and hygienic, many consumers are unaware of the additives they contain, which can pose serious health risks. This lack of awareness has contributed to a rise in health issues such as allergies, asthma, diabetes, and other chronic illnesses. To address this problem, a mobile application is proposed that helps users make healthier food choices by analyzing packaged food ingredients. The application enables users to scan or upload images of ingredient labels, utilizing image preprocessing techniques (grayscale conversion, Gaussian blur) and Optical Character Recognition (OCR) to extract the ingredients. Users can also input personal health conditions like diabetes, asthma, or allergies, allowing the system to tailor its analysis. By referencing a comprehensive database such as OpenFoodFacts, the application provides immediate health-related insights on the detected ingredients. For ease of understanding, ingredients are classified using a color-coded system: red for highly harmful substances, orange for moderately harmful ones to be consumed in moderation, and green for safe ingredients. This approach empowers consumers to make informed, health-conscious decisions regarding packaged food consumption.

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Smart Ingredient Tracker: Product Safety and Allergy Detection Application

  • Manas Tiwari,
  • Rohit Sharma,
  • Nyasa Singh,
  • Sandhya Avasthi

摘要

Although packaged foods are generally considered safe and hygienic, many consumers are unaware of the additives they contain, which can pose serious health risks. This lack of awareness has contributed to a rise in health issues such as allergies, asthma, diabetes, and other chronic illnesses. To address this problem, a mobile application is proposed that helps users make healthier food choices by analyzing packaged food ingredients. The application enables users to scan or upload images of ingredient labels, utilizing image preprocessing techniques (grayscale conversion, Gaussian blur) and Optical Character Recognition (OCR) to extract the ingredients. Users can also input personal health conditions like diabetes, asthma, or allergies, allowing the system to tailor its analysis. By referencing a comprehensive database such as OpenFoodFacts, the application provides immediate health-related insights on the detected ingredients. For ease of understanding, ingredients are classified using a color-coded system: red for highly harmful substances, orange for moderately harmful ones to be consumed in moderation, and green for safe ingredients. This approach empowers consumers to make informed, health-conscious decisions regarding packaged food consumption.