Coffee Recommendation System

Coffee Recommendation System

Customers stuck to the same drinks; new menu items were risky.

Challenge

The shop needed to predict adoption and personalize recommendations.

Solution

Built an ML-powered recommendation engine with REST API and UI.

Tech Stack

Python • Flask • scikit-learn • HTML/CSS/JS • Jinja2

Impact

35 percent more customers trying new drinks • 22 percent higher repeat purchases

Coffee Recommendation System
Coffee Recommendation System
Coffee Recommendation System
Coffee Recommendation System
Coffee Recommendation System
Coffee Recommendation System

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