Popular GitHub Repositories for Airline Booking

Build Business AI Agents for your company: business workflows, API's, bookings, e-commerce, social commerce, b2b, CPQ, intake forms, NPS tests, made-to-order use cases

An intelligent AI-powered meeting room booking system built with LangGraph and advanced natural language processing capabilities. It provides seamless room reservation through conversational interfaces, featuring automated availability checking, smart scheduling, and comprehensive booking management.

A secure, real-time platform for video consultations, AI insights, chat, notifications, appointment bookings, and file uploads with seamless payment integration and build using clean architecture and solid princliples

A comprehensive full-stack healthcare application that leverages AI-powered voice interactions for patient triage, symptom analysis, specialist mapping, and appointment booking. It is built with modern technologies including FastAPI, PostgreSQL, React, and integrated with leading AI models like Gemini and GPT-4.

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类器。

This repo is implementation of LLM and genAI plus its integration with Next.js for doctor consultation and appointment booking

DeepAir Solutions : Price recommendations for ancillary facilities for airline using deep reinforcement learning. AAP refers to Airline Ancillary Pricing.

A modular and AI-powered appointment booking agent designed to streamline scheduling for businesses, starting with dental clinics. Built with LangGraph, Composio, and Bland.com, it integrates Google Calendar and Gmail to manage appointments, send confirmations, and handle voice interactions.

SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.

This project analyzes and visualizes airline delay causes using data sourced from Kaggle. Additionally, it applies machine learning techniques to predict and understand factors contributing to flight delays, such as weather, airline operations, and more.

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

Virtual AI Chatbot. Automate customer service at your car dealership site. Let the chatbot be your service booking agent and sales assistant.

AI Room Booking Chatbot developed on IBM Watson Assistant and IBM Cloud Function.

Cureit is a user-friendly doctor appointment booking platform designed to eliminate the inconvenience of long waiting times and streamline the process of scheduling medical consultations.

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

An AI-powered, innovative web application built with React.js and Firebase, Terapeuta makes mental health support and therapy accessible, user-friendly, and secure. It offers online therapist support and facilitates virtual therapy sessions, ensuring a seamless and compassionate experience for users seeking mental wellness solutions.

Welcome to the Enigma's Seminar Hall Booking System! This project aims to provide an efficient and streamlined way for Students and lecturers of AJIET to book seminar halls for various events. Built using Next.js, MongoDB, and Firebase, this system allows easy management of booking requests, hall availability, and event scheduling

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

Using machine learning algorithms like support vector machines, artificial neural networks and random forest to predict airline customers satisfaction

An artificially intelligent chatbot conversing coherently in only English. It will recognize your intents and can also help you as a virtual assistant booking your flights or finding the weather updates.