The Smart Classroom System using IoT modernizes the conventional education environment by integrating automation, sensing, and communication technologies. The system implements automatic student attendance using face recognition, smart control of lighting and fans, environmental monitoring, and remote data access through cloud platforms. A Raspberry Pi 3B single board computer and Pi camera module continuously monitor the classroom. During enrollment, facial images of each student are captured and stored in a database. During lecture hours, the system detects faces from live video frames and compares them with the stored dataset using OpenCV and the face_recognition library. When a match is confirmed, attendance is recorded with date and time. A 16×2 LCD display shows confirmation and a buzzer provides audio indication. The system eliminates proxy attendance, reduces manual effort, and improves accuracy, demonstrating the practical value of embedded systems and computer vision in smart educational infrastructure