NutriVision: Calorie Estimation of Food Using Deep Learning

Abstract

With the increasing awareness of health and nutrition, accurate calorie estimation has become essential for maintaining a balanced diet. Traditional manual tracking methods are often time-consuming and prone to human error. This project, NUTRIVISION, proposes a deep learning–based approach to automatically estimate food calories from images. The system uses computer vision techniques and convolutional neural networks (CNNs) to identify food items, analyze portion sizes, and predict calorie values based on trained datasets. By leveraging image preprocessing, feature extraction, and classification models, the framework provides real-time nutritional insights with improved accuracy and efficiency. The proposed solution aims to assist users in monitoring daily intake, supporting healthier lifestyle decisions, and enabling smart dietary management through an intelligent and user-friendly platform