A Computer Vision project that guides users to perform rope skipping correctly by sending on-screen alerts. o Used Mediapipe library for detecting body keypoints in real time video. o Collected rope skipping and non-rope skipping images to create dataset for model training. o Developed the CNN model pipeline using transfer learning with a ResNet-34 model for training on images. o Implemented conditions of rope skipping posture to guide users on accurate postures.