AI-Driven Tourism Analytics: Understanding Traveler Behavior and Preferences through IoT Sensors

This paper introduces a sophisticated AI-IoT system that aims to improve tourism analytics by offering immediate and practical insights on traveller behaviour. The system provides excellent prediction accuracy and efficient data processing by merging IoT sensors with machine learning algorithms. The system incorporates a scalable cloud infrastructure with edge computing to do local data preprocessing, thereby guaranteeing minimal delay and high dependability. By subjecting the system to thorough testing and validation, it showcases substantial enhancements compared to conventional methods in terms of precision, effectiveness, and scalability. The findings emphasise the capacity of AI and IoT technology to transform the tourism sector by providing more profound understanding and tailored services. Future endeavours involve investigating nascent technologies such as edge AI, 5G, and blockchain to augment system capabilities and tackle issues related to data protection.