Natural Language Meal Plan Customization

via “nutrition data extraction and normalization from unstructured logs”

AI agent that helps with nutrition and other goals

Unique: Combines LLM-based natural language parsing with optional database normalization to handle both structured and unstructured nutrition input, avoiding the brittleness of regex-based extraction while maintaining accuracy through fallback database lookups

vs others: More flexible than barcode-scanning apps (which require pre-packaged foods) and more accurate than pure LLM extraction (which can hallucinate macros) because it uses LLM for parsing and database lookups for validation