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This paper proposes a proof-of-concept AI pipeline that uses multi-modal data (images and accident reports) to assess railway crossing safety, achieving a macro F1 score of 0.757 for risk classification and an RMSE of 0.078 for safety score estimation using a fine-tuned compact VLM.