The Hotel Search Application is a full-stack web platform designed to streamline the process of finding accommodations. It allows users to intuitively search and filter hotels based on specific, custom criteria. By integrating Natural Language Processing (NLP) capabilities using SpaCy on the backend, the application intelligently processes user queries to extract meaning and intent, delivering highly relevant search results within a modern, responsive user interface.
Robust search functionality that allows users to seamlessly filter and narrow down hotel options based on various criteria.
Utilizes the SpaCy library to understand and process natural language search inputs, significantly enhancing accuracy and relevance.
A highly user-friendly, cleanly designed frontend built with React that ensures a smooth experience across both desktop and mobile devices.
A responsive React application that captures user search inputs, filter preferences, and displays the structured hotel data.
A lightweight Python/Flask backend that serves as the bridge between the client and the data, handling incoming RESTful API requests.
Before querying the hotel database, the backend routes raw search strings through SpaCy to intelligently extract entities and context to form a more accurate search query.
Incorporate Google Maps or Mapbox APIs to allow users to visualize hotel locations geographically and perform bounding-box searches.
Connect to third-party travel APIs to pull in real-time pricing, availability, and dynamic booking links.
Implement authentication so users can save their favorite hotels to a wishlist, leave reviews, and track their booking history.