## 1 Introduction  
The healthcare sector is becoming increasingly important and challenging as the population grows. A thorough literature review revealed limited medical personnel, long recovery periods in hospitals, and communication methods as common issues related to healthcare apps. In this research, we aimed to solve these problems. There are many potential obstacles and problems relating to the Internet of Things (IoT), which involves programming to control devices through the Internet, and security on the Internet and network stability are the main priorities for developers [1]. Smart cities and the healthcare sector have been developed to facilitate and support a better quality of life. [PERSON] et al. [2] claim that the methods and technology in respect of remote health monitoring entail a patient record application that integrates well with the proper sensing mechanisms and gathers structured and unstructured data for machine learning analysis. The concept of a healthcare apps aims to mimic expert care by setting up machines to integrate healthcare resources with smart IoT solutions. Key components of IoT-enabled smart healthcare applications are produced using various techniques, topologies, and frameworks, as shown in Figure 1[3].  
Figure 1: The component of an IoT-integrated smart wheelchair system.  
There are five essential components of smart services: (1) localization-based information, (2) remote sensing, (3) healthcare service and application, (4) technology and architecture, and (5) IoT communication systems. Location-based information works best with smart wheelchair applications with integrated global positioning to locate the user. The applications must use specific models and designs for remote healthcare monitoring of the patient record to manage patient data effectively. The smart wheelchair system components include glucose level sensing, electrocardiogram monitoring, blood pressure monitoring, body temperature monitoring, oxygen saturation monitoring, rehabilitation systems, medical management, wheelchair management, and other upcoming healthcare solutions. During the COVID-19 pandemic, IoT facilitated the introduction of medical systems facilitating linked imaging, hospital operations, drug distribution, and pharmacy management [4]. In order to deliver end-to-end communication and protocols for Internet networks, technology and architecture are crucial in the shift to the IoT [5]. In this study, we use IoT and communication systems to design smart wheelchair applications. The IoT can quickly build communication systems by accessing real-time information.  
The remainder of the article is structured as follows. The associated study area, autonomous smart wheelchairs, general requirements, and the Internet of Things (IoT) are described in Section 2. In Section 3, we discuss the proposed method of building smart wheelchairs, the innovative wheelchair process as applicable to the proposed method, system design and implementation, and how the Anto and Firebase platforms positively influence electric-powered wheelchairs. Section 4 provides details about the electric-powered wheelchair speed test, displacement distance test, and GPS tracking test. Section 5 sets out our conclusions.