AI at the Table: Personalizing Dining Experiences and Fostering Financial Responsibility with SavvyEats

In the evolving digital landscape, restaurant recommendation platforms are pivotal in shaping dining choices. This MRP investigates the efficacy of "SavvyEats," a novel platform integrating AI-driven personalization with financial management. Utilizing the hybrid recommendation system, which consists of content-based and collaborative filtering, the research question centred on the platform's ability to offer personalized dining suggestions while considering budgetary constraints. The methodology encompassed a structured development approach, usability testing, and comparative analysis with existing platforms. Results indicated a positive reception to the platform's unique features, though feedback highlighted areas for refinement, especially in matching industry benchmarks like Uber Eats. The project concludes that while "SavvyEats" holds promise in redefining the dining recommendation paradigm, continuous adaptation to user feedback and technological advancements is crucial for its sustained success.