Indian Food Classification and Dietary Recommendations using CNNs

Author(s)	Mr. Manas Mohan Shetty, Mr. Saksham Sahay, Dr. Kavitha R
Country	India
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.
Keywords	convolutional neural networks, dietary recommendations, food classification, machine learning, Raspberry Pi
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-08-14
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.47750
Short DOI	https://doi.org/g9w7j9

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International Journal For Multidisciplinary Research