LUTBIO Multimodal Biometric Fusion Pipeline orchestrates end-to-end processing of nine biometric traits through trait-specific preprocessing, Siamese CNN encoding, and dual fusion branches handling missing modalities. Data flows from user prompts through the LUTBIO dataset, generating clean and perturbed embeddings before branching into feature-level and score-level fusion pathways that converge for unified evaluation. The pipeline includes three ablation studies—excluding ECG, using complete ECG subset, and missing-aware handling across all subjects—to isolate the contribution of each biometric modality. Evaluation metrics span AUC, EER, FAR, FRR, DET curves, and F1 scores, with efficiency tracked via CodeCarbon for carbon-aware ML. Fork this diagram to customize ablation strategies, swap fusion architectures, or adapt the pipeline for your own multimodal biometric datasets.