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With the increasing reliance on mobile applications for daily tasks, grocery shopping remains an area ripe for automation and intelligence. This paper presents SmartGro , an iOS application that leverages machine learning and user behavior analysis to create dynamic, context-aware shopping lists. The app predicts frequently purchased items, suggests replenishment based on consumption patterns, and supports voice and barcode input. Evaluation results show a 35% reduction in missing items and improved shopping efficiency.