Real-Time Estimation of Calories from Indian Food Pictures Using Image Processing Techniques

Indian food is one of the most popular cuisines in the world and comprises uniquely flavored preparations using traditional recipes and spices. Across India’s 28 states, 135 billion population, and hundreds of years of the cultural heritage of our Country has resulted in a huge number of sub-cuisines and a vast number of unique dishes. In this paper, a system for detecting the calorie count of Indian food by detecting food items in images using You Only Look Once (YOLO) algorithm is presented. The calorie count of food items is an important parameter that needs to be considered while maintaining a healthy lifestyle. However, manually counting calories can be a tedious and time-consuming task. The proposed system uses deep learning to automatically detect the food items in an image and estimate their calorie count. This system can be used to create a calorie-counting app that can help individuals maintain a healthy diet.