This application automates the diagnosis of HV machine insulation faults by classifying Phase Resolved Partial Discharge (PRPD) Patterns using deep learning. Users select a dataset (real-field from MHH Condition Monitoring or research) and a model (e.g., CBAM, GoogLeNet, Inception-ResNet). The app provides real-time classification and detailed evaluation metrics (accuracy, precision, recall, mIoU), enabling efficient and reliable condition monitoring.