Modern households are becoming automated with the development of smart cleaning robots applied in many fields with the known environment itself only because of difficulty in analyzing unknown paths, the cleaning robot due to its semi-autonomous nature cannot be monitored without the presence of human interference. The purpose of the project is to disinfect the floor in households, colleges, hospitals, etc., fully autonomously for delivering convenience and reducing time spent by developing a prototype model of a floor disinfecting robot using artificial intelligence. The proposed system initiates by designing a 3D model in the designing software for assembling the required components in the 3D printed hardware model. In an assigned path, turning ON of the device and UV LED strip for floor disinfecting are performed automatically using a supervised learning algorithm and scheduling program respectively. Appearance of obstacles within the path are detected and captured through external sensors and Pi camera for safety monitoring of the device. All the software and hardware operations of the device are tested and controlled by integrating with a Raspberry Pi microcomputer. For a user to get acknowledgment about the device performing tasks such as autonomous movement of the robot within the path, activation and deactivation of UV LED, obstacle detection is intimated to the user by sending an online message through a WhatsApp notification.