Innovative Nutritional Analysis: Leveraging AI and Machine Learning for Accurate Calorie Tracking

Journal of Science Technology and Research (JSTAR) 5 (1):1-15 (2024)
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Abstract

This project aims to provide an automated system for accurately estimating the calorie content of food and beverages using advanced deep learning algorithms. With the increasing demand for health-conscious individuals, there is a need for a reliable, efficient, and easy-to-use tool that can help users make informed dietary choices. The project utilizes image processing techniques and deep learning models, such as Convolutional Neural Networks (CNN), to analyze food images and predict the corresponding calorie content

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