Travel Assistant Chatbot Using GPT:4

Authors

  • Pranav Hariharan
  • H.K. Krishnappa

Keywords:

Natural Language Processing, Prompt Engineering, Travel booking.

Abstract

The primary purpose of this application is to inter act with users in a conversational manner, offering information, support, or assistance in real time. They can undertake a wide range of responsibilities, from answering frequently asked questions to dealing with customer service issues, making product suggestions, and even conducting transactions Chatbots can handle multiple languages, and they can be programmed to change their responses based on context and user interaction. Travel chatbots are AI-powered virtual assistants specifically designed to assist users with their travel-related queries and tasks. These chatbots utilize artificial intelligence and natural language processing techniques to understand user input and generate relevant responses in real time. Their main purpose is to streamline the travel planning process by providing instant information on flights, hotels, itineraries, visa requirements, and local attractions. Chatbot development using OpenAI involves utilizing the power of OpenAI’s language models, such as GPT 3 and GPT-4, to create conversational agents. Based on the input they are given, OpenAI’s language models, which have been trained on a massive quantity of text data, can produce responses that resemble those of humans. Here we demonstrate an application that is a travel assistant using the Open AI and the PyCharm IDE using the input data from the inbuilt MakeMyTrip Application [3]. This utilizes the conversational ability of Open AI API and extracts information from the user and then processes the information from the mmt application to give a very application interface between the customer and the application.

Downloads

Download data is not yet available.

Downloads

Published

2023-06-08

How to Cite

Pranav Hariharan, & H.K. Krishnappa. (2023). Travel Assistant Chatbot Using GPT:4. International Journal of Progressive Research in Science and Engineering, 4(6), 8–11. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/889

Issue

Section

Articles