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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
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