DESIGN AND SIMULATION OF IOT-BASED INTELLIGENT HOME AUTOMATION SYSTEMS USING MATLAB SIMULINK AND PYTHON INTEGRATION

The idea of "smart homes" has been completely transformed by the Internet of Things' (IoT) rapidly expanding technological capabilities, which allow for seamless automation and remote device control. Because of Python's strong and versatile programming features, this thesis discusses the design and simulation of IoT frameworks and device communication in a smart home setting. The suggested system incorporates a number of simulated Internet of Things (IoT) devices, including security cameras, smart lights, and thermostats. These devices use the MQTT (Message Queuing Telemetry Transport) protocol to connect with one another through a centralized message broker. The simulation demonstrates how various smart home components interact by simulating real-time communication between devices and a central controller using Python and the Paho MQTT module. Every gadget is represented as a MQTT client that reacts to simulated environmental changes and publishes status updates on a regular basis. Dynamic monitoring and control are made possible by the central controller, which processes incoming messages and subscribes to the device topics. The study simulates realistic smart home situations including automatic lighting, temperature control, and motion detection while highlighting the architectural concepts underlying effective communication, scalability, and security in IoT networks. This study advances knowledge about Internet of Things frameworks and how they may be used to improve the comfort, security, and energy efficiency of smart homes. It also lays the groundwork for future efforts to integrate more IoT protocols, cloud services, and sophisticated machine learning methods for predictive automation.