MRI
MRI India Journals Vol. 14 No. 1 (2025)

Food Label Scanner & Personalized Supplement Recommendation System

Authors

  • Veena Katankar Suryodaya College of Engineering and Technology / Computer Engineering, Nagpur, India
  • Lalitkumar Patle Suryodaya College of Engineering and Technology / Computer Engineering, Nagpur, India
  • Hitanshu Deshmukh Suryodaya College of Engineering and Technology / Computer Engineering, Nagpur, India
  • Aditya Sonone Suryodaya College of Engineering and Technology / Computer Engineering, Nagpur, India

DOI:

https://doi.org/10.65521/ijaece.v14i1.414

Keywords:

Food Analysis Food Label Scanner Barcode Scanning Ingredient Evaluation

Abstract

The Food Label Scanner and Supplement Recommendation System is a smart tool that helps users make better food choices. It uses advanced tools like OpenFoodFacts and USDA FoodData to give users more control over their diet. With this system, people can scan barcodes on food items to get accurate details about their nutrition. This includes information on calories major nutrients, and what's in the food. The system checks the ingredients for any harmful additives and gives the product a health score based on how nutritious it is. On top of analyzing food, the system has a Personalized Supplement Recommendation Engine. This engine proposes vitamins, minerals, and dietary supplements that fit the user's specific health profile. The profile takes into account things like age, weight, fitness goals, food preferences, and current health issues. By looking at nutrient gaps and daily eating habits, the system offers custom advice to help muscle recovery, strengthen immunity, and sharpen brain function. The platform also includes a User Profile System to keep track of food preferences, fitness aims, and nutrition history. This allows for personalized insights and monitoring over time. Built for health-minded people, fitness buffs, and those with special dietary needs, this adaptable and smart solution combines real-time food info and data-backed insights to encourage healthier living.

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Published

2025-05-23

How to Cite

Katankar, V., Patle, L., Deshmukh, H., & Sonone, A. (2025). Food Label Scanner & Personalized Supplement Recommendation System. International Journal on Advanced Electrical and Computer Engineering, 14(1), 200–207. https://doi.org/10.65521/ijaece.v14i1.414

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