IOT And AI – Powered Personalized Guest Engagement

In order to improve visitor engagement and event customisation, this paper describes the design and implementation of a virtual concierge system based on AI and IoT. The system incorporates a chatbot driven by Natural Language Processing (NLP) for real-time communication, IoT sensors to detect the presence of guests, and facial recognition technologies to identify guests. Additionally, it uses cloud storage to synchronize data in real-time and actuators to carry out physical tasks like presenting guests with roses. Key technologies include OpenCV for image processing, Convolutional Neural Networks (CNN) for facial recognition, and frameworks like Dialogflow or Rasa for chatbot creation. The system makes sure that hardware elements like servo motors, cameras, motion sensors, and ESP32 microcontrollers integrate seamlessly. Through the automation of data administration and visitor interaction, this system offers a novel approach to event and hospitality management, demonstrating how AI and IoT can be used to create individualized experiences. Key words: IoT sensors, chatbot interaction, natural language processing (NLP), facial recognition, convolutional neural networks (CNN), cloud storage, automation, guest engagement, event management, and virtual concierges powered by AI.