Intelligent Meal Planning: A Generative LLM-Based Autonomous Agent Application

In this paper, we present What’s for Dinner, an intelligent mobile application that transforms meal planning by integrating advanced Large Language Models (LLMs) with state-of-the-art image analysis and Natural Language Processing (NLP) techniques. Our innovative system accurately identifies food items, maintains a dynamic virtual pantry, and retrieves or generates personalized recipe recommendations complete with detailed instructions. By leveraging an API-driven architecture, the system eliminates the need for local model storage and enables efficient real-time processing. The application couples a precise photo analysis module with a sophisticated recommendation engine, codenamed "Sous-Chef", ensuring scalability and high performance.