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A Semantic and Context-Aware Conversational AI System for Personalized Travel Planning
Authors
1 3 4 5 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India. 2 Head of Department, Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 66-71
- Article Type
- Research Article
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Abstract
View PDFIn this approach, the idea of creating a vector-based DB that combined both LLM’s and semantic searching will be utilized. Besides, user interface interactions and context aware conversational recommendations will also be combined. Users will therefore interact with the chatbot both in text and voice, giving them a more personal feel. Added to this is real-time external API’s that provides additional context to better customize the itineraries generated for the users based on their preferences, which includes destination selection, travel budget sensitivity, style of travel, and group size. Another feature being added to the itinerary being generated is exporting itineraries into PDF formats. The proposed Chatbot presents examples of using the power of Conversational AI, semantic search, multi-modal interfaces, and real-time data integration to enhance personalization and usability in travel planning systems.
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