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Designed and implemented a Location-Based Restaurant Recommendation System using machine learning techniques in Python. Leveraged advanced algorithms to provide personalized restaurant suggestions, enhancing user experience based on location preferences.
A simple project to provide recommendations for types of food & beverages that are suitable for users who want to start a culinary business in certain areas in Jakarta, Indonesia.
Deciding where to eat shouldn't be hard. You know tons of places, your check-in history proves it. Whats for Dinner answers that question, bubbling up delicious places you've forgotten about. Example: