A Multitool For Tracking And Locating Nearby Devices Via Their RF Activities.

📶 Material design signal strength view for Android

ESP-32 based WIFI Scanner with OLED Screen

Android app used to record and grade indoor LTE coverage.

WiFi RSSI Dataset from Mobile Robots in Indoor Environments

esp32 wifi signal scanner with LED indication in monitor mode

My bachelor thesis - goelocation for wireless sensor networks based on RSSI.

Usage of a drone as a mobile receiver and custom written interpolation algorithm allows for a 3dimensional map of the signal strength in the surveyed area

Python script to monitor wifi access point signal strength.

📡 Open-source real-time WiFi monitor: signal strength, network scanner, device discovery, speed test & alerts — browser dashboard + Python CLI

Polaris is a dual-platform network measurement and monitoring system with Android and Web clients. The Android app allows users to run network tests, collect performance metrics, and view results. The web platform offers real-time dashboards, map-based visualizations and admin tools for managing users and analyzing network data.

Sample tool to predict network traffic based on users and resource block utilization

Solving Industry based and Solution based problems through Neural Networks

Android app for mapping and analyzing WiFi signal strength using statistical fingerprinting for indoor location insights.

Includes multiple Scientific Computing & Algorithm Building Applications like Root Finding, Cost Minimization, Monte Carlo Approximation, Random Walk, Signal Strength Analysis, Class Architecture applications etc.

WiFi-SignalStrength app for tracking signal strength; WiFi-Sniffer;

WiFi Analyzer 2026 – Scan and analyze Wi-Fi networks, channels, signal strength, and interference. Find the best channel for your router. Setup.exe included.

WiFi Distance Calculator is a utility that calculates the approximate distance between a WiFi device and an access point based on the signal level and frequency. Using a mathematical formula, this tool helps users determine the distance in meters based on the frequency in MHz and signal level in dBm.