Advanced Threat Detection by Scrapping Data from Public Domain

Criminal crimes are usually reported in news articles, but it is hard to find possible suspects. Large text and image processing manually is not efficient. The project "Advanced Threat Detection by Scraping Data from Public Domain" proposes an AI-powered system for crime classification and suspect identification. With the assistance of NLP, it classifies news based on crime-related keywords, and facial recognition identifies images with a criminal database. Where a match is not found, deep learning analyzes fear or anger expressions to detect suspicious behavior. Merging web scraping, text categorization, face detection, and behavioral analysis, this system enhances real-time threat detection and public safety.