Journal of Advances in Developmental Research
E-ISSN: 0976-4844
•
Impact Factor: 9.71
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 17 Issue 1
2026
Indexing Partners
AI Trip Planner Management System with Analytics Comparison
| Author(s) | M. Moses Anbuselvan, S. Mari Subbulakshmi, MCA |
|---|---|
| Country | India |
| Abstract | VoyageGenie is an AI-powered end-to-end travel planning and management platform designed to eliminate the stress, inefficiencies, and uncertainties associated with modern travel. Traditional travel platforms primarily focus on bookings and offer limited personalization, leaving travelers to manually coordinate itineraries, manage unexpected disruptions, and reconcile fragmented travel information. VoyageGenie aims to transform this experience by acting as a smart virtual travel assistant that understands user preferences, generates optimized itineraries, and dynamically adapts travel plans in real time using Artificial Intelligence and Large Language Models (LLMs). The core purpose of VoyageGenie is to provide travelers with a seamless and intelligent travel lifecycle—from trip inspiration and planning to booking, execution, and post-trip engagement—within a single unified platform. The system leverages conversational AI to gather user requirements such as destination, travel dates, budget, and interests. Instead of static forms, users interact naturally with the assistant, enabling deeper personalization. The AI engine then integrates real-time data sources such as hotel pricing, weather forecasts, traffic conditions, attraction availability, and event schedules to generate a highly optimized itinerary tailored to individual preferences. The primary need for this project arises from the growing complexity of travel planning in a highly digital yet fragmented ecosystem. Travelers are overwhelmed with multiple apps, unreliable information, and generic recommendations that do not adapt to real-world conditions. Delays, weather disruptions, closures, and last-minute cancellations often lead to wasted time, budget overruns, and emotional stress. VoyageGenie addresses this critical gap by introducing a proactive “Plan B Engine” that continuously monitors real-world conditions and automatically suggests intelligent alternatives when disruptions occur. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 17, Issue 1, January-June 2026 |
| Published On | 2026-05-08 |
| Cite This | AI Trip Planner Management System with Analytics Comparison - M. Moses Anbuselvan, S. Mari Subbulakshmi, MCA - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1873 |
| DOI | https://doi.org/10.71097/IJAIDR.v17.i1.1873 |
| Short DOI | https://doi.org/hb27p4 |
Share this

CrossRef DOI is assigned to each research paper published in our journal.
IJAIDR DOI prefix is
10.71097/IJAIDR
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.