Nutrieye: An Android-Based Food Nutritional Value Recognition App Using Yolov8 Algorithm

Authors

  • Nicholai Gian B. Aseoche School of Computer Studies and Technology Colegio de San Juan de Letran Calamba, Bucal Bypass Rd, Calamba, 4027 Laguna, Philippines
  • Shahed Ibrahim B Al-Ismail School of Computer Studies and Technology Colegio de San Juan de Letran Calamba, Bucal Bypass Rd, Calamba, 4027 Laguna, Philippines
  • Edvince Joy M Dannug School of Computer Studies and Technology Colegio de San Juan de Letran Calamba, Bucal Bypass Rd, Calamba, 4027 Laguna, Philippines

DOI:

https://doi.org/10.32664/ic-itechs.v5i1.1706

Keywords:

Food Image Recognition, Nutritional Content Calculation, Android Development, YOLOv8

Abstract

Good nutrition is essential for a healthy lifestyle, yet many people consume calorie-dense, low-nutrition foods, contributing to malnutrition. While food recognition systems exist, few cater specifically to Filipino dietary needs. This study developed NutriEye, an Android-based app that identifies the nutritional content of common Filipino foods and recommends portion sizes based on user profiles and dietary needs. Using the Food Nutrition and Research Institute's (FNRI) Philippine Food Composition Table and Dietary Reference Intake Chart, the app leverages the YOLOv8 algorithm to analyze food images, estimate nutritional values, and calculate suitable servings. The app's accuracy was tested through evaluation metrics and validated using ISO/IEC 25010 standards for quality, including functionality, efficiency, usability, and security. Feedback from 100 respondents confirmed the app’s effectiveness in promoting better nutrition management tailored for Filipino users.

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Published

2024-12-03

Issue

Vol. 5 No. 1 (2024): IC-ITECHS

Section

Articles