Primarily, online food delivery apps work by involving customers, restaurant partners and delivery partners as a three-sided marketplace. To meet the increasing demands of food delivery, a recommendation system has been developed to prioritize both food taste preferences and preparation time. LPUEatzz, a custom meal delivery software made for Lovely professional University (LPU) campus in Phagwara, Punjab. It smoothly integrates preparation time and taste preferences in its recommendation system. Built on the ML algorithm FNN and using the React Native framework as it’s foundation, this research paper validates LPUEatzz’s capability to deliver personalized meal suggestions customized to the distinct preferences of users of LPU campus. LPUEatzz fills the gap in food delivery experience within the campus which contributes to overall user satisfaction.