Food Detection and Calorie Estimation using Deep Learning

Abstract—Health is undeniably a vital component of human life, as it influences not only our physical well-being but also our mental and emotional states. However, achieving optimal health requires a comprehensive approach that involves various aspects such as regular exercise, a balanced diet, and adequate rest. Among these, maintaining a healthy diet is crucial, as it ensures that the body is receiving the necessary nutrients for proper functioning. In today’s world, a healthy body depends on the number of calories that are consumed. Therefore, monitoring calorie intake is necessary to maintain good health. The suggested model uses a deep learning algorithm to offer a novel approach to calorie measurement. This calorie is measured from the different food images that have been trained to generate the model. For this, we trained CNN with characteristics extracted by Inception V3 to create a system that can recognize multiple foods. The input we provide to this model is an image taken of the food. The food calorie value is calculated from the proposed model with the help of food image detection. Additionally, we can know about the calorie level as we increase or decrease the amount of food we intake in grammes.