Popular GitHub Repositories for Hotel

The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

Here is my Senior Design Project that I implemented to graduate from Computer Engineering. It is a chatbot made in RASA and helps the user to plan their vacation in the Turkish language. In order to plan the user's vacation, it provides reservations by asking various questions for hotel, flight, or event.

This repo contains the code of a ai-trip-advisor, which generates trips with hotel recommendation, itineraries according to their budget and travel choice. Also i cannot add deployed link here because i used google maps places (NEW), photos, and geolocation api's due to which i have restriction of staying under expenditure of $200/monthly

This repository contains the code and resources for sentiment analysis and aspect-based sentiment analysis of TripAdvisor hotel reviews in Marrakesh.

Jupyter notebook for training a Bidirectional LSTM model for sentiment classification task on hotel reviews in Arabic

It is an End-to-end MLOps pipeline for hotel reservation prediction leveraging GCP, LightGBM, MLFlow, Jenkins and Docker. This system automates data ingestion, preprocessing, feature selection, model training, and tracking, with a Flask-based frontend for real-time inference.

? Hotel Reservation Prediction using MLOps ? End-to-end ML pipeline: data ingestion → model training → CI/CD deployment ? Dockerized & Jenkins-powered for reproducible workflows ? Web app interface for real-time reservation predictions

Hotel Reservation Package for the MLOps with Databricks course

Multilingual Deception Detection of GPT-generated Hotel Reviews

AI-Travel-Agent is a Python chatbot that uses LLMs to plan trips, search flights and hotels, manage multi-step conversations, and generate travel summaries or emails through a streamlined agent workflow.

AI Travel Assistant is a powerful AI-powered tool that helps users plan their trips effortlessly. It integrates flight search, hotel booking, and sightseeing recommendations to generate a structured travel itinerary using LangChain, Apify, and OpenAI

An AI-powered travel planner that generates personalized itineraries based on your destination, budget, and preferences. Get hotel recommendations, places to visit, and optimized travel plans—all in one place! ??

The room-mapping-ai is a proof-of-concept (POC) web api that allows users to find the best possible matches of hotel room names using AI

A travel platform that uses Gemini AI to offer personalized hotel recommendations and custom itineraries.

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

A model try to predict the revenue for hotels based on data in real life (real data)

A Machine Learning project to predict sentiments from hotel reviews for automated guest satisfaction analysis

Build Machine Learning models using hotel reservation dataset and demonstrate the use case on hotel booking demand analysis & cancelation prediction.

Machine learning system that predicts hotel reservation cancellations using LightGBM. Implements a complete ML pipeline from data ingestion to web deployment with Flask, Docker, and CI/CD integration.