Year: 2024
Type: article
Abstract: This assignment pursuits to create an internet utility for food popularity that provides nutritional information to assist customers make better nutritional alternatives. The application will allow customers to browse food items, use picture popularity to identify meals, and access certain nutritional content which includes energy, protein, fat, and other crucial nutrients for every dish. The device will use a superior machine gaining knowledge of models like YOLOv8m to understand numerous meals, that specialize in Indian delicacies, and retrieve nutritional records from databases which include USDA and Edamam. this could offer a continuing experience for fitness-aware individuals and food fanatics targeted on their health and health. The system structure is designed for scalability and actual-time software, with a web-based totally interface allowing customers to add meal snap shots and obtain on-the-spot dietary analysis
Author: Sneha Kokare
Institution: Savitribai Phule Pune University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4404005767