Computer vision is a rapidly evolving field that enables computers to interpret and extract meaningful information from images and videos, with applications spanning from security to autonomous navigation. The article outlines 15 OpenCV projects, ranging from beginner to expert levels, that showcase the versatility of computer vision technologies. These projects include tasks like edge and contour detection, color detection, text recognition, face and object detection, hand gesture recognition, and human pose detection. Advanced projects explore areas like image deblurring with GANs, image transformation, automatic colorization, vehicle counting, and license plate scanning, demonstrating the practical applications in fields such as healthcare, automotive engineering, and surveillance. The article emphasizes the importance of high-quality datasets for training models and highlights the continuous improvements in computer vision due to advances in AI and machine learning.