International Journal of Image Processing and Pattern Recognition
Abstract
Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and micronutrients (vitamins, minerals), empowering users to track and manage their intake effectively. This system integrates machine learning and robust data processing to deliver precise nutritional information, offering personalized dietary recommendations based on individual health goals. Gourmet Sage offers applications in healthcare, fitness, and nutrition management, enabling users to maintain balanced diets, track their progress, and improve overall well-being.
Gourmet Sage, Calorie Chart, SSD, Nutrients, RCNN, Food Recognition
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@article{ref2025,
author = {},
title = {Gourmet Sage Using Deep Learning With Calories Chart},
journal = {International Journal of Image Processing and Pattern Recognition},
year = {2025},
url = {https://journalspub.com/publication/ijippr/article=22172}
}