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What

Added a new Airflow DAG (dags/model_training_dag.py) to automate the model training and evaluation process for Lore. The DAG includes two tasks: train_model and evaluate_model, which run the corresponding scripts in Lore using Python subprocesses.

Why

This DAG ensures that the model training and evaluation workflow is automated, reducing manual effort and improving reliability. It allows the model to be retrained and evaluated daily without human intervention.

@mohsinkhan85090
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This PR adds a new Airflow DAG to automate the model training and evaluation workflow for Lore.
It includes two tasks: train_model and evaluate_model, executed via Python subprocesses.
This will enable daily automated training and evaluation without manual intervention.

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