Collision Detection System

Arduino GPS datalogger with ATGM336H module, SD card module, and ATSAMD21 microcontroller.

A Vehicle Location Tracking System.

Simulator of u-blox 6 serial communication protocol (UBX)

This repository contains the firmware and hardware-related code for the smart cane, utilizing the LiDAR sensor to assist visually impaired users in navigating their environment.

The Raspberry Pi GPS Tracker monitors vehicle speed in real-time, flagging predefined speed violations. Using a Raspberry Pi and USB GPS module, it records incidents on a USB drive. A desktop script visualizes incidents on Google Maps. Enhance road safety with this compact solution.

A multi-mode GNSS receiver breakout board based on the GP-02 SoC supporting BDS, GPS, and GLONASS.

This is a project where I implemented Dead reckoning on a car using IMU and standalone GPS for autonomous driving assistance.

Project topic is DrowsiShield that ensures drivers safety. The main aim of this system is to avoid accidents by instantly detecting the driver’s level of drowsiness and sending alerts through audio and haptic stimulation.

Drowsiness detection system integrated with PC and Arduino UNO to create an alert system. And creating a system to alert the nearest emergency points whenever the driver accident is encountered.

Smart Question Box built with Arduino to prevent question leakage in public exams.

Official Arduino library for interfacing with the 7Semi L89HA GNSS Module over UART. This library enables easy communication and data parsing of NMEA sentences, allowing you to retrieve GPS location, time, and satellite data with minimal effort.

Custom Firmware for TTGO T-Watch 2019 with u-blox NEO-M8N GPS

Arduino - Project working with a Nano V3 / NeoPixel 5V LED stripe with 3 LEDs / Neo 6-m gps module with antenna / electro magnet lock 5V / Li-Ion 18650 Battery with

scripts useful in gnss data access, pre- and post- processing, and access to supplemental data

Transferring the data obtained from the sensors connected to the STM32 microcontroller to the desktop application with LoRa modules.

Combining temperature, gas and smoke sensors with Pico W’s connectivity overcomes limitations of single-sensor alarms.​ End-to-end automation (detection → computation → communication) accelerates emergency response and reduces human error.​ The low-cost, modular design can be adapted for fire monitoring.