T The low level of student engagement in large-scale classrooms has become a major challenge in modern educational technology. there is an increasing need for a scalable and efficient real-time feedback system to replace conventional interaction methods that are often limited by logistical constraints and device maintenance costs. this study aims to develop a smart polling system based on the bring your own device (byod) concept by utilizing the blynk iot platform on students’ smartphones as the primary input units. the research employs a research and development (r&d) method with a focus on optimizing the communication architecture using the lightweight mqtt protocol. the system implements structured json-based data management to ensure interoperability and information integrity, including user identity, timestamps, and signal strength (rssi). data from student devices are integrated into ros 2 middleware, which functions as a central aggregator to efficiently handle large volumes of concurrent data traffic before displaying the results on a web-based monitoring dashboard for instructors. the expected outputs include a reliable mobile-based polling prototype, a web-based monitoring dashboard for instant result visualization, and a system performance analysis targeting system response time below 100 ms. this implementation is expected to support the creation of a more interactive, modern, and accessible smart classroom ecosystem, thereby improving the quality of higher education learning through cloud-based technology and middleware optimization.