This system is a smart home automation solution designed to support elderly individuals in managing their daily household tasks with ease and minimal physical effort. It provides a cost-effective, reliable, and user-friendly solution that integrates Bluetooth communication, Arduino microcontrollers, and smart sensors to control appliances such as lights, fans, and doors. Existing initiatives in elderly care technologies, including IoT-based smart homes, wearable sensors for health monitoring, and Bluetooth-enabled automation systems, have demonstrated the potential of technology in improving independence and safety for older people. However, these systems frequently face challenges such as high implementation costs, complex user interfaces, limited scalability, and network dependence. This system overcomes those challenges by providing a simplified mobile application with efficient Bluetooth-based communication and additional features such as rain detection and an automatic cloth collector, enhancing both indoor convenience and outdoor safety. The system is built on a five-layer architecture: a user layer that provides a simple mobile app interface, an application layer that processes commands, a communication layer that transfers data through Bluetooth, a control layer where the Arduino Uno executes logic and sensor operations, and a device layer consisting of appliances and sensors. This layered approach ensures seamless interaction between users, processing, and devices, enabling both manual and automated control in real time. The implemented algorithms include a Bluetooth communication algorithm for pairing and command transfer, a device control algorithm utilizing IF-ELSE logic, a servo motor algorithm employing pulse-width modulation (PWM), and a rain detection algorithm with threshold-based sensor readings. The results of this work demonstrate that this system successfully enables elderly individuals to perform household tasks with minimal effort, increases accessibility through a straightforward mobile app, and shows potential for scalability as an affordable assistive technology solution.