Python Graphical GPS Client Application supporting NMEA, UBX, SBF, RTCM3, NTRIP & SPARTN Protocols

Proof of concept for abusing Telegram's "People Near Me" feature and tracking people's location

Pwnagotchi Plugins and Things for Mayhem and Profit

Probably the fastest Python package to convert longitude/latitude to timezone name.

Obtains IP Information With A Shortened URL

html map gallery from photos

ROS driver for the Reach RTK GNSS module by Emlid

A python script which allows you to parse GeoLocation data from your Image files stored in a dataset.It also produces output in CSV file and also in HTML Google Maps

Image classification of wildflowers using deep residual learning and convolutional neural nets

Extract OBDII data for Hyundai Ioniq Electric (2019), as well as the GPS location (using an external USB device) and publishes it to MQTT broker using a Raspberry Pi Zero W.

Extensible Internet Of Things integration service written in Python that can be run in a Raspberry Pi Zero W.

Self-Hosted url shortener with ip logger

Command Line tool for basic communication with SIM7600E 4G & GPS module

Extract metadata (EXIF) from uploaded files on Slack

🕋 Malaysia Prayer time based on person GPS Location. Give support by pressing the ⭐ button. Jazakallahu khair

In this project, I developed a real-time GPS data logger. This multi-threaded application allows connecting to a GPSD server, retrieve real-time location data and save it to a local SQLite database. In addition, the stored data can be exported in both Keyhole Markup Language (KML) and GPS Exchange Format (GPX) formats.

🕋 Malaysia Prayer time based on GPS Location using AppDaemon. Give support by pressing the ⭐ button. Jazakallahu khair

This project displays your **real-time GPS location** on a **preloaded offline map** using a **Raspberry Pi** and a **Waveshare E-Paper display**. It works completely offline — no internet connection is required. Perfect for use in outdoor or off-grid environments.

Detect traffic lights and their locations from images using computer vision