Tourism Explorex

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M Venkata Sai Charan; DR. P SRINIVASA RAO; DR. RAMACHANDRAN VEDANTAM

Tourism Explorex

Authors: M Venkata Sai Charan, DR. P SRINIVASA RAO, DR. RAMACHANDRAN VEDANTAM

Unique Paper ID: 182441
Volume: 12
Issue: 2
PageNo: 2382-2387

Keywords: Tourism Explorex Machine Learning (ML) Travel Recommendation System Personalized Tourism Predictive Analytics Clustering and Classification Sentiment Analysis Natural Language Processing (NLP) User Behavior Analysis Smart Travel Solutions.

Abstract:
Tourism Explorex is an intelligent travel assistant built using machine learning techniques, aiming to enhance trip planning through personalized insights and data-driven recommendations. It processes user preferences, historical data, and real-time inputs to suggest ideal destinations, accommodations, and activities. The platform employs various machine learning techniques, including grouping similar travel behaviors, data categorization, and emotion-based analysis, to identify patterns in user preferences. It also incorporates Natural Language Processing (NLP) to interpret user opinions from online reviews and social media, thereby refining the quality of recommendations. This solution seeks to modernize the tourism sector by delivering adaptive and efficient travel planning tools, improving satisfaction for users. By applying predictive analytics and smart algorithms, Tourism Explorex identifies trends, optimizes travel pricing, and supports both travelers and businesses in making better decisions. This paper outlines the structured use of machine learning to redefine travel experiences and support sustainable tourism.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 2382-2387

Tourism Explorex

Available:https://ijirt.org/article?manuscript=182441

24 Jul, 2025

SATELLITE IMAGE CLASSIFICATION: A DEEP LEARNING APPROACH USING MOBILENETV2

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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