Developed an AI-powered facial recognition tool designed to detect and identify individuals by comparing facial features with a pre-existing database of known offenders. The project uses computer vision and machine learning techniques to analyze facial patterns and generate potential matches, demonstrating the application of artificial intelligence in crime prevention and public safety.