I present a quick AI agent project that creates a free calorie tracker using Gemini and LLAMA 3 models, alongside the n8n workflow automation tool. The project aims to demonstrate how natural language processing (NLP) and computer vision can be combined to track daily caloric intake. I walk through the steps to set up the project, including installing the necessary dependencies, training the Gemini and LLAMA 3 models, and integrating them with n8n to create a seamless calorie tracking workflow. The article highlights the potential benefits of using AI-powered calorie tracking, including increased accuracy and reduced user effort, and provides a basic template for readers to build upon.

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