adaptability via extensive hyperparameter optimization, Fine-Tuning for integration of a pretrained model with selective gradient updating, and Prediction for efficient inference. Through modularity, a logging mechanism ensures data integrity and traceability, adhering to FAIR data principles . The open source codebase uses the PyTorch library for model development and the Optuna library 4 for hyperparameter optimization.