DineSynth: Restaurant Data Augmentation Engine

Restaurant operators struggle to build data‑driven insights when venues sit empty, creating a data void that stalls AI and analytics. DineSynth fills that void by ingesting real‑world sensor, POS, and third‑party streams, then generating synthetic, high‑fidelity customer interaction datasets so teams can run accurate forecasting, menu optimization, and predictive models even with sparse footfall.