The app technical architecture is still pretty minimal. I’ve been running only 2 models. One for identifying the food. One for giving a scale if the food is gre

The app technical architecture is still pretty minimal. I’ve been running only 2 models. One for identifying the food. One for giving a scale if the food is greasy or lean. Coupled to average calorie database, a small algorithm is then able to do basic calorie estimation. The model to identify food can identify between 97 different foods. The greasiness/leanness model is still pretty raw. It has only been trained only on around 500 images.