FOOD CALORIES DETECTION USING DL

The Food Calories Detection System is developed to estimate calorie content using deep learning techniques. Images of food items are captured using a camera and processed by an SBC running deep learning models. The system identifies food items and estimates calorie values based on trained datasets. This supports dietary monitoring and health awareness. This project uses an SBC, camera module, deep learning algorithms, image processing, and embedded programming, making it suitable for health and nutrition monitoring applications.