Year: 2025
Type: article
Abstract: This project introduces a modern approach to personalized nutrition using Raspberry Pi, computer vision, and machine learning for real-time meal analysis. The system captures images of meals, accurately identifies food items using deep learning techniques, and estimates portion sizes to provide precise nutritional data. Users receive immediate nutritional insights and tailored recommendations based on their health goals, such as weight loss or muscle gain. This technology-driven solution addresses the lack of accessible, real-time tools for personalized nutritional assessment and advice, contributing to the broader goal of SDG 3: Good Health and Well-Being by promoting healthier eating habits and addressing global health challenges like obesity and diabetes.
Authors: Manas Shetty, Saksham Sahay, Kavitha R
Institution: SRM Institute of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413379604