Sharing my learning experiences, project insights, and achievements in embedded systems, IoT, and software development.
Selected as regional finalist in NXP's Artificial Intelligence in Mobility competition, competing in robotic treasure hunt challenges using ROS2, SLAM, and computer vision.
Enrolled in an intensive embedded systems course from Pyjamabrah, taught by Google engineers Piyush Itankar and Mahmad Bharmal.
Recognized by Qt Group as one of the top 3 performers among 100+ international teams in the global Qt-athon 2024 competition.
A simple Linux application for WiFi access point jamming using network security techniques.
A Python implementation of WiFi jamming functionality for network security research and learning.
A shell script implementation for WiFi jamming, exploring bash scripting and system administration.
A Python script to remove system apps from Android devices using ADB commands and automation.
Started my journey into robotics with ROS2. Here's what I learned in my first month of exploring robot operating systems.
Started learning C++ from The Cherno's YouTube series to strengthen my programming fundamentals.
Developing an intelligent traffic management system for emergency vehicle prioritization using deep learning and IoT integration in the TechForSociety hackathon.
A desktop application built with Qt Framework to remove bloatware from Android devices, making device management easier and more efficient.
An innovative AI-powered assistive system designed to help people who are blind navigate and interact with their surroundings using computer vision and artificial intelligence.