Anti-Malware Software
Authors- Velmanian B, Assistant Professor Dr.K.Nandhini
Abstract--In an era dominated by digital connectivity, safeguarding data and systems against evolving cyber threats has become paramount. This project introduces a Python Full Stack Antivirus Software designed to provide efficient, lightweight, and user-friendly protection against malware. Leveraging Python for core logic and scanning, Flet for the cross-platform frontend interface, and SQLite3 for secure and structured data storage, the software delivers real-time protection, comprehensive scanning capabilities, and intuitive user experience. The antivirus solution includes essential functionalities such as malware detection through signature and heuristic analysis, threat quarantine and removal, and accessible scan history management. Emphasis is placed on minimal system resource usage, ensuring smooth performance even on low-end devices. The architecture integrates a responsive UI with backend scanning logic, ensuring seamless operation and user interaction. Extensive unit, integration, system, performance, and security testing validate the robustness of the system, while future enhancements such as cloud-based threat intelligence, AI-based detection, and multi-platform support are proposed to expand its effectiveness and scope. This antivirus software exemplifies a scalable and secure solution tailored for both individual and small enterprise use, bridging the gap between powerful cybersecurity and simplicity.