Revenue Management with Hotel Booking Cancellation Predictions using a Machine Learning Classification Model; written in Python.

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This research aims to develop a low-cost web app with a Hotel Recommender System, Booking Prediction, Chatbot, secure booking and payments, facial recognition for Check-in/Check-out, and a Food and Beverage Management App.

recommender engine for hotel/location bookings

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Figma design prototype for a Hotel Recommender app featuring user-friendly UI/UX for browsing, filtering, and booking hotels based on user preferences and location.

Hotel recommender system which will help the user to book the best hotel out of all the other hotels using customer reviews and ratings. The data was scraped from Booking.com.

The goal of the project was to create a recommendation system that, for hotel booking data, would be more effective than Amazon's recommender (HR@10 evaluation).