# Cyber2Labs

- **Event:** [National Security Hackathon (by Army xTech)](https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon)
- **When:** May 2 at 9:00 AM – May 3 at 4:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Ayyappan Rajesh](https://cerebralvalley.ai/u/iyapun), [Day Nguyen](https://cerebralvalley.ai/u/dayn), [Kevin Cardwell](https://cerebralvalley.ai/u/computerguru)
- **GitHub:** https://github.com/nonamecoder/rf-sentinel
- **Demo video:** https://youtu.be/i3FRUBpWlI0
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/34

RF Sentinel is an AI-powered RF signal classification engine that treats every radio sensor as a data source to be analyzed and classified for operational prioritization. It streams spectrum data from Software-Defined Radios through a real-time pipeline that extracts spectral fingerprints, detects anomalies against learned baselines, and classifies emitters by type and threat level—enabling operators to distinguish routine traffic from jamming, spoofing, or unauthorized transmitters at a glance. Validated on Sub-GHz signals but frequency-agnostic across the entire spectrum, the system runs on commodity hardware from a $30 RTL-SDR to a $100 HackRF or USRP, making real-time spectrum intelligence and threat classification accessible beyond proprietary military-grade systems.

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