Machine Learning Model Development for Bloodstain Classification

Forensic Science › AI Bloodstain Pattern Analysis Research

Machine Learning Model Development for Bloodstain Classification

Interns will develop and train machine learning algorithms to classify bloodstain patterns (impact, transfer, cast-off, etc.) using annotated datasets and image processing techniques. This involves data preprocessing, feature extraction, model optimization, and validation against established forensic standards.

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