A Smart AI-Driven Heritage Guide: Enhancing Tourism

Tamil Nadu boasts a wealth of heritage sites that draw tourists from across the globe. Nevertheless, visitors frequently encounter obstacles such as language differences, insufficient historical context, and limited access to real-time information. This paper introduces an innovative, AI-enhanced mobile application designed to enrich the tourism experience by offering real-time, multilingual, and voice-assisted guidance for heritage locations. The proposed application is built using React Native and incorporates a Large Language Model (LLM) to provide tailored historical insights in various languages. It features speech recognition and text-to-speech capabilities, enabling users to engage with the application with ease. Furthermore, the integration of real-time data ensures that tourists receive current information regarding weather conditions. Initial testing indicates that the system significantly enhances tourist engagement and accessibility, rendering historical exploration more immersive. The multilingual capabilities empower non-native visitors to navigate language barriers, facilitating a smooth experience. In contrast to traditional guided tours, this AI-driven solution offers increased flexibility, personalized content delivery, and enhanced user convenience.

Authors

Institutions

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/icicv64824.2025.11085671
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Smart AI-Driven Heritage Guide: Enhancing Tourism

S Vishal, M. Sathiya, R Dinesh, Jerin Don et al.
AI in Service Interactions
article

A Smart AI-Driven Heritage Guide: Enhancing Tourism

S Vishal, M. Sathiya, R Dinesh, Jerin Don, L Dhanushkodi
article en

Abstract

Tamil Nadu boasts a wealth of heritage sites that draw tourists from across the globe. Nevertheless, visitors frequently encounter obstacles such as language differences, insufficient historical context, and limited access to real-time information. This paper introduces an innovative, AI-enhanced mobile application designed to enrich the tourism experience by offering real-time, multilingual, and voice-assisted guidance for heritage locations. The proposed application is built using React Native and incorporates a Large Language Model (LLM) to provide tailored historical insights in various languages. It features speech recognition and text-to-speech capabilities, enabling users to engage with the application with ease. Furthermore, the integration of real-time data ensures that tourists receive current information regarding weather conditions. Initial testing indicates that the system significantly enhances tourist engagement and accessibility, rendering historical exploration more immersive. The multilingual capabilities empower non-native visitors to navigate language barriers, facilitating a smooth experience. In contrast to traditional guided tours, this AI-driven solution offers increased flexibility, personalized content delivery, and enhanced user convenience.

Karpagam Academy of Higher Education (IN)
Decent work and economic growth
Openalex Percentile: Top 91%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Smart AI-Driven Heritage Guide: Enhancing Tourism — S Vishal, M. Sathiya, et al. · (2025) | TGRS Research Map | TGRS