K-Means Clustering for Segmenting Restaurant Customers

This project uses K-Means clustering to segment customers of restaurants based on dining preferences, frequency of visits, and average spending. The system helps restaurants tailor their services, create personalized offers, and improve customer retention through targeted promotions and recommendations.