Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper presents an advanced AI-based vacation planning platform enriched with emotional intelligence capabilities, offering personalized travel experiences aligned with the user's real-time emotional state. The system addresses the gap left by conventional travel platforms that prioritize logistics and preferences over psychological readiness and emotional well-being. Our solution uses a combination of manual mood input and AI-driven sentiment analysis via voice modulation, facial expressions, and textual emotion parsing to assess the user's current emotional condition. The machine learning-based engine cross-references this data with curated travel insights to produce highly relevant and emotionally attuned travel suggestions. By integrating live travel data APIs and a feedback-enhanced learning mechanism, this platform not only tailors travel experiences in real time but also evolves to improve future suggestions. This approach promotes travel that supports mental wellness, relaxation, or excitement based on actual needs rather than assumptions, enhancing both the travel experience and overall user satisfaction.
"Vacation Planner using AI", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b647-b649, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504179.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator