Traditionally, forensic investigators faced challenges in crime scene investigations due to the manual process of sorting and analyzing evidence, which often resulted in wasted time, lost data, and credibility issues in court. Pressure from various stakeholders, including governments and media, further compounded these issues by demanding quicker results. However, the advent of automation and technological advancements, particularly in Artificial Intelligence (AI) and its subset Machine Learning (ML), has revolutionized forensic investigations. By utilizing ML algorithms like Support Vector Machine (SVM), investigators can now efficiently classify and segregate evidence without manual effort, enhancing the speed and accuracy of investigations, improving data integrity, and bolstering the reliability of evidence presented in court.