Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{177440,
        author = {Vennela Priya Pothu and Talluri Ashrita and Y.Siddharda Reddy and N.Bhaskar},
        title = {Trip Tact-Plan your trip},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1854-1860},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177440},
        abstract = {The Artificial Intelligence-based Trip Planner streamlines trip planning with the automation of itinerary creation, route planning, and service blending. Employing Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to generate personal travel itineraries from users' preferences, restrictions, and current information, the system ensures efficient travel management. With the application of ChatGPT, Semantic Kernel, and LangChain, it facilitates intelligent suggestions of travel destinations, activities, and travel packing checklists. Compatibility with Google Maps API provides optimal routing, and the user-friendly web interface makes smooth trip management a reality. It will further boast real-time weather forecasts, ride booking, and AI-based customer care, to make the traveler's journey smooth, personalized, and stress-reduced.},
        keywords = {},
        month = {May},
        }