rf-analysis

PandwaRF: RF analysis tool with a sub-1 GHz wireless transceiver controlled by a smartphone or

The all-in-one Android hardware toolkit. 29 tools for wireless analysis, sensor monitoring, network scanning, and security auditing.

BLE scanning and anomaly detection for RF and IoT security

Flipper Zero RF analysis toolkit — spectrum capture, protocol inference, device fingerprinting and clustering. CC1101 driver, SD logging, session management.

Multi-tool RF analysis firmware for M5Stack Cardputer - WiFi scanner, BLE scanner, ultrasonic detector, signal mapper, and tracker detector

SDR-based signal analysis toolkit — FFT spectrum processing and signal detection

Self-hosted WiFi analyser — UniFi, Meraki and SNMP access points in one view: RF spectrum, client signal scope, rogue AP detection and alerting.

Leviathan OS v 0.2.0 alpha - Industrial-Grade Security Audit Firmware

Flutter plugin for reading live cellular and WiFi radio data on Android - signal strength, network type, operator, cell identity and LTE metrics.

SDRSentinel: an SDR++-based RF analysis suite with pulse characterization (PDW), KrakenSDR direction finding, and spectrum visualization.

Conducted a security assessment of car key fob systems and identified a replay attack vulnerability using HackRF with PortaPack H2+. The project demonstrated how unencrypted signals transmitted by key fobs can be intercepted and replayed, allowing unauthorized access to vehicles.

Neural DFT: GPU-accelerated learnable spectral layers for real-time RF modulation classification

RF-Based Drone Detection, Payload Analysis & Threat Classification System - Affordable open-source Counter-UAS research

2.4 GHz BLE wearable RF hardware design with nRF52840, MIFA antenna, 4-layer KiCad PCB, CPWG, Smith-chart matching, link-budget analysis, and RF verification.

A Playground for AI Agents to learn DSP skills through trial and error; A set of agent skills to analyse RF spectrum using natural language prompts.

Professional API for 3D RF sensor coverage analysis using real terrain data

Secure sensitive medical records in cloud storage using revocable attribute-based encryption with fine-grained access control and efficient data management.

Designed and implemented a performance-balanced noise-canceling LNA in SCL 180nm CMOS using Cadence Virtuoso, covering CG-CS, Cascode, and Folded-Cascode architectures, RF analysis, full-custom layout, DRC/LVS, PEX, and a custom spiral inductor.