Published Paper Details:

Intelligent service robots are being increasingly deployed in commercial and institutional settings to improve customer satisfaction and reduce operational costs. In this paper we present the design and development of a low-cost AI based HelpDesk Robot that provides independent client support through multimodal interaction. For customer identification, the system is equipped with a PIR motion sensor, an OLED display for visual feedback, and an ESP32 microcontroller for system control. It also includes an AI Thinker VC-02 voice module for offline speech recognition and speech synthesis and an ESP32-CAM module for real time face recognition. The PIR sensor activates the system when a client approaches, the ESP32-CAM identifies the visitor using facial recognition and the speech module allows natural language interaction to answer commonly asked queries by using a locally stored knowledge base. The robot ensures that communication is accessible and user-friendly by providing synchronised text and voice responses. The proposed architecture reduces the manual intervention thereby providing continuous availability of the services and improving user interaction, thus ensuring low deployment and maintenance costs. The experimental implementation demonstrates reliable client detection, accurate face recognition, responsive voice interaction, and effective real-time system performance. The proposed system, thanks to its modular and scalable design, can be deployed in hospitals, schools, retail centers, corporate offices, banks, and other public service settings where intelligent automated help is required.