Oscar Bryan Magtibay developed foundational features across two repositories, focusing on embedded systems and computer vision. In the embeddedcpe4A2526 repository, he established the groundwork for hardware tutorials by creating initial Arduino sketches, including Blinking and Debounce activities, using C++ to scaffold future instructional content. Concurrently, in the dspCPE4A2526 repository, he implemented a Python-based Jupyter Notebook for color-based image segmentation, leveraging OpenCV and NumPy to isolate red regions in images via HSV thresholding. While the work was introductory in scope, it provided essential scaffolding and rapid prototyping tools to support upcoming educational and data-processing initiatives.