IoT & Robotics
Bridging software logic and physical reality through embedded systems, real-time sensors, and artificial intelligence.
AI Based Traffic Light System
An intelligent traffic management system leveraging YOLOv8 computer vision on a Raspberry Pi. It replaces static timers with dynamic, real-time vehicle counting to optimize lane flow and reduce congestion.
Hardware Architecture
Raspberry Pi + Camera Module + Custom Breadboard Logic
YOLOv8 Computer Vision
Real-time classification tracking cars, buses, trucks, and bikes
Adaptive Signal Control
Green-time algorithm dynamically adjusting to active lane density
The Hardware Realm
Beyond the screen, IoT and robotics are my ultimate playground. I thrive on bringing code into the physical world—wiring circuits, programming microcontrollers, and building systems that interact with their physical environment.
AI Traffic System Architecture
System flow from vision to hardware
Raspberry Pi Setup
Core processing unit wired to breadboard
ESP32 Integration
Wi-Fi enabled microcontroller setup
LED Prototype
Physical signal simulation
Arduino Workbench
Testing servos and ultrasonic sensors
Hardware Toolkit
Sensors, modules, and wiring components
Hand Following Car
Gesture-controlled robotics prototype
Robotic Arm
Multi-axis automated manipulator
OpenCV Projects
Computer vision and image processing
Raspberry Pi Module
Advanced embedded Linux development