Arduino is employed to control the laser setup, while ImageJ software assists in analyzing the diffraction patterns to calculate the slit width and hair diameter. The diffraction patterns are observed on a screen, recorded with a camera, and analyzed using AI-powered image processing techniques, ensuring precision and minimizing human error. The results demonstrate how AIoT integration can streamline experimental procedures, offering real-time feedback and enhancing the accuracy of traditional optical experiments. This study highlights the application of AIoT in educational laboratories, providing students with a modern, efficient approach to understanding wave optics through hands-on experimentation.