Customer Segmentation for Restaurants using K-Means Clustering

This project segments restaurant customers based on data such as visit frequency, menu preferences, and spending habits. Using K-Means clustering, the system groups customers into clusters, allowing restaurants to offer personalized promotions, discounts, and menu recommendations based on customer preferences.