IOT and AI–Powered Personalized Guest Engagement

In order to improve guest reception at institutional events, this paper introduces an AI and IoT-based guest inter- action system that uses personalized, touchless, and intelligent interactions. The system recognizes faces using MTCNN and a pretrained FaceNet model, uses sensors to detect presence, and uses a webcam to take pictures of faces. Using text-to-speech technology and an LED display, recognized guests are given a personalized welcome. An Arduino-controlled robotic arm with servo motors makes gestures like passing a rose. Python is used to integrate all functions, and RealVNC is used to support remote access and socket programming for real-time communication. The system demonstrates a clever approach to event automation, increases engagement, and decreases manual labor. Index Terms—Artificial Intelligence (AI), Internet of Things (IoT), Facial Recognition, FaceNet, MTCNN, Natural Language Processing (NLP), Text-to-Speech (TTS), Robotic Arm, Event Automation, Guest Engagement