A Regionally Adaptable Nutrition Centric Food Recommendation System (FR-RANC) | Zendy

Mushran Siddiqui | Zendy; Farhana Akther | Zendy; Gazi M. E. Rahman | Zendy; Raqibul Mostafa | Zendy

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A Regionally Adaptable Nutrition Centric Food Recommendation System (FR-RANC)

Author(s) -

Mushran Siddiqui,

Farhana Akther,

Gazi M. E. Rahman,

Raqibul Mostafa

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3592210

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The regionally adaptable nutrition-centric food recommendation system (FR-RANC) introduces a holistic approach to personalized dietary recommendations that addresses the limitations of existing nutrition systems that often overlook regional food availability, economic conditions, and comprehensive nutrient requirements. Utilizing a decision support system (DSS) and an optimization algorithm, the system integrates user-specific data, including age, gender, health conditions, and socioeconomic status, with region-specific food databases to generate food lists that meet macro-and micronutrient needs. Unlike traditional systems, which focus on a few nutrients or specific medical conditions, FR-RANC provides a holistic solution by considering a broader range of nutrients and adapting them to various regional and economic contexts. The initial evaluation, based on systematically generated test cases, demonstrated the system’s capability to achieve approximately 90% compliance with macronutrient targets. At the same time, micronutrient results exhibit a narrow distribution around the mean, indicating strong alignment with recommended requirements, even across varying health conditions, such as diabetes, cardiovascular issues, and pregnancy. Furthermore, FR-RANC effectively addresses cold-start and scalability issues, as observed in traditional systems. These results underscore its potential as a proactive tool for promoting balanced nutrition, supporting healthcare professionals, and addressing global nutritional disparities.

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