User anomaly detector based on logs generated by Osquery framework and machine learning to process those logs.

Group 23 Log File Analyzer and Pattern Detector Develop a log analysis CLI that processes server logs and application event files, identifies error patterns and anomalies using regular expressions, calculates performance metrics and response times, tracks user behavior and system usage patterns, implements alert …

AI-powered login anomaly detector built with Flask and OpenAI’s GPT API. Each login is analyzed per user based on hour, weekday, IP, device ID, and user agent. The system flags unusual behavior with a severity rating and natural-language summary. Includes a web interface, CSV logging, and is ready for local or cloud deployment.