Smart Travel Planner
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
Authors
- Nilam Honmane
- Pratik Bagal
- Jagdish Butte
- Rohan Gogawale
- Mahesh Indalkar
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-03-14
- DOI
- https://doi.org/10.55041/ijsrem42872
- Citations
- 1
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 4.20