Internship
CyberGuard-NIDS
Machine-learning intrusion-detection dashboard (Random Forest + Streamlit).
No live demo yet — watch the walkthrough above.
Project Walkthrough
Watch the walkthrough for CyberGuard-NIDS.
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About This Project
CyberGuard-NIDS is a network intrusion detection dashboard built with a Random Forest model and a Streamlit interface.
It was built during the EDUNET Cybersecurity with Generative AI internship, taking the intrusion-detection concepts from the curriculum and turning them into a working tool.
Problem
Traditional signature-based intrusion detection misses novel attacks; ML-based detection needs a usable way to inspect and interpret results.
Why I Built It
Built as the hands-on deliverable of the EDUNET internship to apply ML to real security problems.
What I Learned
Key Takeaways
Random Forest classification, feature handling for network traffic, and building an interactive dashboard with Streamlit.