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03 — Project

Cybersecurity Projects

ML systems for detecting threats across email and malware.

Machine LearningSecurityNLP
Overview

Two machine learning systems built to detect two of the most common attack vectors: phishing emails and malicious files. Both projects apply classification models to real datasets and push for accuracy that holds up beyond the test set.

Role
Builder
Timeline
2026
Stack
Python, scikit-learn, pandas, HuggingFace, SMOTE, Streamlit
Status
Deployed (AI 311, UTK)
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