Verbal-To-Visual AI Forensic Face Reconstruction System

Abstract

The Verbal-to-Visual AI Forensic Face Reconstruction System is a project that focuses on converting verbal descriptions of a person into a visual facial representation and comparing it with a stored face database to identify possible matches. The system helps reduce the limitations of traditional manual forensic sketching, which is time-consuming and highly subjective.

In this project, user-provided descriptions are processed to generate a facial image using artificial intelligence techniques. The generated face is then analyzed and matched against a database of facial images to determine similarity levels. The system presents the matching results in a ranked manner along with confidence percentages, helping investigators identify potential leads more efficiently. This project is developed for educational and research purposes and demonstrates the practical application of artificial intelligence in forensic investigations, highlighting its potential to support faster and more consistent suspect identification.

The proposed system is designed with a simple and user-friendly interface, making it easy for users to provide inputs and analyze results. It emphasizes decision support rather than final identification, ensuring that the generated outcomes are treated as investigative leads. By automating the face reconstruction and matching process, the system improves efficiency and consistency while demonstrating how emerging AI technologies can assist forensic analysis in a controlled and ethical manner for academic use.