A Clarifai visual recognition app, demonstrated in a Clarifai-Food-Nutrition-Demo, allows users to analyze food nutrition by uploading food images to a single web page interface. Utilizing Clarifai's food recognition technology and API calls to Wolfram Alpha, it estimates the calorie content of the food shown in the images. The app's backend consists of a simple JavaScript file that connects to these APIs, and users can customize it by copying the provided code repository and modifying a few parameters. The process involves setting up accounts with Clarifai and Wolfram Alpha to obtain API keys, which are then inserted into the code. The app can be further enhanced by training it with personal images through Clarifai's Custom Training feature, which uses an intuitive Explorer UI for non-coders. This user-friendly tool promotes informed eating habits and leverages the scalability of Clarifai's servers to efficiently train custom models.