meghaghadage/A-Model-for-Automated-Food-Logging-Through-Food-Recognition-and-Attribute-Estimation-Using-Deep-Lea
This website can automatically estimate the various food attributes like the nutrients and ingredients by classifying the food image, that is given as input. The approach involves the use of different types of deep learning models for accurate food item identification. Apart from image recognition and analysis, the food ingredients, nutrients and attributes are obtained and estimated by extracting words which are semantically related from a large collection of text, accumulated over the internet. Experimentation has been performed with the Food-101 dataset. The proposed system assists the user to obtain the nutritional value of the food item in real-time which is effective and simple to use. The proposed system also provides supporting features such as food logging, calorie tracking and healthy recipe recommendations for self-monitoring of the user.