I created this app to protect from all devices detectable with an android phone. I have created algorithms that check for behavioural patterns, problem is I need real life use since the RF patterns are so different for everyone, I want to test the efficacy of my ML agents, feel free to install the app, it's free right now, your feedback would really be invaluable. Thank you all in advance HN!
SentryRF: Cognitive Counter-Surveillance
SentryRF is a professional-grade RF (Radio Frequency) situational awareness tool for Android. Unlike "camera finders" that rely on optical reflection, SentryRF operates at the signal intelligence (SIGINT) layer, detecting the digital footprint of surveillance hardware.
Core Capabilities:
Multi-Protocol Detection: Scans the 2.4GHz spectrum to identify AirTags, Tiles, SmartTags, and unbranded BLE trackers using high-fidelity manufacturer data parsing.
Behavioral AI Engine: Employs a local neural network to differentiate between "ambient noise" (a neighbor's headphones) and "threat patterns" (a device following your trajectory across multiple GPS coordinates).
Tactical Sound Locator: Uses an RSSI-weighted triangulation engine and haptic/audio feedback to guide users to a hidden device's physical location through signal gradient analysis.
Deep Hardware Analysis: Identifies rogue WiFi "Evil Twins," IMSI catchers, and unauthorized IoT devices using OUI lookups and chipset-family fingerprinting.
Privacy-Centric Architecture: All analysis, including ML retraining and database storage, happens 100% on-device. No RF data or location history ever leaves the handset.