The USB Virus Alert System signifies a progressive innovation in the domain of cybersecurity, meticulously crafted to shield computing environments from threats introduced via Universal Serial Bus (USB) devices. In today's interconnected digital landscape, USB storage media are widely utilized for rapid and convenient data exchange. However, their ubiquity has simultaneously rendered them prime vectors for malware dissemination, contributing to a surge in security vulnerabilities. Despite the presence of traditional antivirus programs, these tools predominantly rely on signature-based detection mechanisms, which are inherently limited when confronting zero-day attacks and newly emerging malicious code. Consequently, there exists a critical need for a more dynamic, adaptive solution that can effectively address both known and unknown threats in real time. This project addresses that need by engineering an advanced USB monitoring and threat detection system that functions proactively rather than reactively. At the heart of the system lies integration with the VirusTotal API, which facilitates the identification of recognized malware through signature comparison with an expansive global database. While this ensures strong protection against documented threats, the system goes further by embedding machine learning (ML) algorithms capable of conducting behavioral analysis. By monitoring deviations from normal file or device activity patterns, the system can flag potentially malicious actions, including those linked to previously unidentified malware strains. This hybrid detection model significantly enhances its efficacy, bridging the gap between conventional threat databases and adaptive anomaly detection. Furthermore, the USB Virus Alert System features a user-friendly Graphical User Interface (GUI) that simplifies interaction, thereby extending usability to individuals with minimal technical expertise. The GUI provides real-time alerts, threat logs, and system responses in a visually intuitive format. To maximize accessibility and deployment versatility, the solution is designed to be cross-platform compatible, with full functionality across Windows, Linux, and macOS operating systems. By fusing signature-based malware detection with artificial intelligence-driven behavioral analytics, this system represents a paradigm shift toward proactive cybersecurity defense. Its real-time operational capability ensures threats are detected and mitigated as they occur, reducing the window of vulnerability and minimizing potential damage. In essence, the USB Virus Alert System not only fortifies the security posture of end-user devices but also introduces a scalable, intelligent framework for managing USB-based threats, setting a precedent for future cybersecurity tools aimed at endpoint protection.