Work

Smart Travel Planner

Year: 2025

Type: article

Abstract: Artificial intelligence (AI) has revolutionized travel planning by automating itinerary generation, optimizing routes, and personalizing travel experiences. AI-powered trip planners integrate machine learning (ML), natural language processing (NLP), and real-time data analytics to recommend destinations, accommodations, and activities based on user preferences. These systems address common travel concerns, such as budget constraints, time limitations, and changing travel conditions. Various approaches, including large language models (LLMs), automated planning algorithms, recommendation engines, and hybrid AI systems, have been explored to improve travel efficiency. AI-powered tools can enhance user satisfaction by providing real-time updates on flights, hotels, and transportation, ensuring a seamless travel experience. However, challenges remain in achieving real-time adaptability, data accuracy, constraint satisfaction, and seamless integration with multiple travel platforms. Keywords—Chatbot, Artificial Intelligence (AI), Machine learning (ML), Travel automation, Smart Travel Assistant

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem42872

Authors: Nilam Honmane, Pratik Bagal, Jagdish Butte, Rohan Gogawale, Mahesh Indalkar

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4408767639

FWCI: 1.107

Cites:

Cited by: 1

Related to: 10