01Orchestrates 7 parallel data sources (FDA, UK FSA, UN COMTRADE, etc.) for comprehensive data collection
020 GitHub stars
03Generates rule-based, actionable recommendations when specific risk thresholds are crossed
04Detects biological pathogens (e.g., Salmonella, Listeria) and chemical hazards in recall text
05Calculates Ingredient Risk Heat Maps by correlating import volume with recall and adverse event frequency
06Applies a four-model composite scoring system for overall risk assessment (Ingredient, Contamination, Supplier Hygiene, Seasonal)