FOOD CALORIES ESTIMATION FROM IMAGES

Abstract

Food Calorie Estimation from Images using Deep Learning is an intelligent system developed to automatically identify food items and estimate their calorie content from digital images. Maintaining a balanced diet and tracking daily calorie intake are important for health management, fitness monitoring, and disease prevention. Traditional calorie calculation methods require manual input and nutritional knowledge, making the process timeconsuming and prone to errors.The proposed system utilizes Deep Learning techniques, particularly Convolutional Neural Networks (CNNs), to analyze food images and classify them into predefined food categories. After identifying the food item, the system estimates the corresponding calorie value using a nutritional database. The model is trained on a food image dataset containing multiple food categories and learns visual features such as shape, texture, and color for accurate classification.