'What Can I Cook?' LetMeCook: An LLM-Based Interactive System for Personalized Recipe Generation

摘要

In real-world cooking scenarios, users often need to create personalized recipes based on limited ingredients, dietary goals, and various restrictions, such as the availability of equipment, flavor preferences, and health conditions. Existing recipe generation methods lack the flexibility and adaptability to meet these individual needs. We present LetMeCook, an end-to-end interactive system for personalized recipe generation that leverages multimodal perception, hybrid retrieval, and content generation. Given a photo of the user's refrigerator and a dietary profile, LetMeCook detects available ingredients, retrieves relevant recipe candidates, and generatively refines them based on user requirements, such as ingredient substitution and flavor adjustment. The system provides both textual and visual previews of the adapted recipes, offering a highly interactive and user-centric experience.