In the ever-evolving terrain of criminology and the forensic analysis sciences, the utilization of Artificial Intelligence (AI) stands as a transitive force poised to revolutionize traditional investigative methodologies This system presents the world of AI-driven forensic analysis, shedding light on its potential to uncover concealed evidence, recognize complex patterns, and accelerate investigations. Mainly, the investigators use the AI system to limit the circle of suspects in the crime through analyzing forensic evidence. it is powered and accessed by the government and federal investigators which is accomplished By using AI algorithms and computer vision capabilities. providing solutions to these challenges furthermore, the results would be accessible to the lawyer of the suspects. In this project we show why artificial in- telligence is a strong complement in forensic analysis as ethical considerations and privacy concerns are addressed, underscoring the importance of developing responsible AI models that respect individual rights and maintain the integrity of evidence. emphasizing the limita- tions posed by human biases and the sheer volume of digital data. Additionally, we aim to put forward enhanced algorithms for serial killer analysis and pattern recognition, face sketching reconstruction and recognition, fingerprint analysis, autopsy report, blood stain and splatter, and crime scene glass identification. to be able to achieve the required challenges of being free of human biases and ensuring an impartial analysis of evidence we need to objectively have the data quality for accuracy that depends on trained data. research result has proved that using AI in forensic analysis is more efficient when it comes to data integrity, safety, and more accuracy in results.

-To reconstruct a sketching of the suspect based on the witness description using neural net- work and image processing.

-To do serial killer pattern recognition from serial killers profile and dataset.

-For the murder cases analysis we use autopsy report so we can know cause and circumstances of the murder case.

-To minimize the circle of suspects we used machine learning and deep learning models for analyzing forensic evidence in the crime scene like fingerprint, blood stain, and glass.

The proposed System will help with Forensic analysis. In order to assist Forensic investigators. The system will analyze the crime scene evidence like glass, fingerprints, and blood stains. The system will use machine learning, deep learning models, and image processing techniques to per- form the wanted tasks. The forensic analysis system shall:

• analyze and identify patterns in serial murder cases.

• construct detailed profiles of serial killers

• perform face sketch reconstruction and recognition.

• Analyze the forensic evidence such as fingerprint, blood stain, and glass.

These tasks involve training models to recognize patterns.