A Smart AI-Driven Heritage Guide: Enhancing Tourism
Jerin Don, S Vishal, L Dhanushkodi, Ramya Dinesh, M. Sathiya · 2025
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.