VistaGuide: AI Travel Companion for Exploration and Insights Using VQA and Image Feature Extraction Techniques

Abstract

VistaGuide is an innovative mobile application that revolutionizes travel by integrating advanced artificial intelligence and machine learning techniques with modern mobile development. In the dynamic field of mobile application development, our project utilizes state-of-the-art methods such as visual question answering (VQA) and deep learning-based image feature extraction to provide users with real-time insights and cultural immersion during their journeys. Unlike traditional rule-based systems or conventional image processing techniques, which often struggle with scalability, rigidity, and contextual understanding, our deep learning approach excels in accurately recognising landmarks and delivering rich historical narratives in the local language. The application harnesses a suite of AI-powered features to enhance user experience and safety. Real-time event updates keep travellers informed about local happenings, while an AI-driven recommendation system suggests essential services like hotels and hospitals tailored to user needs. In addition, an integrated weather forecasting module provides timely alerts to ensure preparedness for environmental changes. The safety of users is prioritised through a one-click emergency reporting feature that uses geolocation tracking, ensuring swift connectivity with local authorities during crises. Offline functionality further enhances app’s usability allowing continuous access to vital information even when internet connectivity is unavailable.