This project is a comprehensive malware detection system developed as part of a semester project. It combines machine learning with web technologies to provide safe, static analysis of executable ...
67 automated tests with 90% coverage Type-safe code (mypy validated) Code quality checks (Black, Flake8) Comprehensive error handling Database connection pooling task ...
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