Nuclear Magnetic Resonance (NMR) spectroscopy plays a crucial role in forensic sciences    by providing detailed chemical information about substances present in biological samples  such as blood. NMR spectroscopy is a versatile tool in forensic sciences, offering nondestructive and high-resolution analysis of biological samples like blood. Machine learning  tools are increasingly employed in forensic investigations to enhance data analysis, pattern  recognition, and decision-making processes. These tools aid in processing vast amounts of  forensic data efficiently and uncovering hidden insights from complex datasets. Its ability to  provide detailed chemical information aids in substance identification, quantitative analysis, and understanding of NMR data interpretation, making it invaluable in criminal investigations  and forensic pathology