Uses WiFi signals 📶 and machine learning to predict where you are
Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019
ESP-32 based WIFI Scanner with OLED Screen
Source code for the paper "A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement"
Dataset for ESP32C3 WiFi FTM RSSI Indoor Localization
Android mobile app for Wi-Fi site surveying. Creates heat maps based on the strength of Wi-Fi signals.
Wi-Fi BLE RSSI SQI Localization dataset
📡 CLI tool to switch on/off the wifi signal of a Compal-CH7465LG cablemodem.
A WiFi signal strength tracker sketch for ESP8266 based devices
A simple command line tool to get notified when the machine has internet access
A finer-level sequential dataset of WiFi received signal strengths (RSS)
E se eu souber quais redes wifi cada aparelho ao redor está procurando ? Com o uso da biblioteca scapy vou mostrar como identificar quais redes estão sendo buscadas no momento e por quais equipamentos (clients) ?
AI-Based Wi-Fi Signal Mapping and Intelligent Router Placement Using RSSI Analysis
Indoor positioning technology based on Wi-Fi signal
📍 Pinpoint your internet location with whereami, a remote terminal client that retrieves your public IP and hostmask for proxy and VPN testing.
Find the latest ReVanced patches repo status, mirrors, and updates when the original repository is unavailable
Real Wi-Fi signal strength (% and dBm) in the Windows 11 tray. Native Win32, C#/.NET 8, ~6 MB RAM.
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