Embedded Systems Project | Mbed OS, ARM Cortex-M Microcontroller, C Programming

• Designed and developed a fully interactive Snake game using C on the Mbed Studio platform, showcasing embedded graphics control and game logic design on resource-constrained hardware.

• Implemented real-time graphics rendering on a uLCD display, managing pixel updates for smooth movement and collision detection within strict timing and memory limits.

• Engineered control input handling through pushbuttons and analog joystick inputs using GPIO interrupts for responsive player control.

• Developed a modular game flow system managing states for start screen, gameplay, pause, and game over, ensuring clear program structure and scalability.

• Utilized Mbed’s Address Sanitizer to detect and fix memory leaks, improving runtime reliability and minimizing heap fragmentation. 

Key Skills: Embedded C, Mbed OS, Real-Time Programming, Memory Optimization, uLCD Graphics, GPIO Interrupts, Embedded Game Design 

Embedded Project | Raspberry Pi 4, Python, OpenCV, Face Recognition Library

• Designed and implemented a facial recognition–based smart door entry system using Raspberry Pi 4 and OpenCV to authenticate users in real time.

• Built a Python-based image processing pipeline to capture and preprocess live camera frames, detect faces, extract embeddings, and compare them against a stored facial database using the face_recognition and dlib libraries.

• Integrated Raspberry Pi camera module and implemented automatic lighting and exposure adjustments to improve recognition accuracy under variable conditions.

• Developed an enrollment interface that allows new users to register by capturing multiple face samples and generating persistent embeddings for future recognition.

• Controlled door actuation hardware (servo lock mechanism and LED indicator) through the Raspberry Pi’s GPIO pins to grant or deny access based on recognition results.

Key Skills: Python, OpenCV, Computer Vision, Face Recognition Algorithms, Embedded Linux, GPIO Control, Security and Encryption, Real-Time Image Processing 

Embedded Systems Project | ESP32-C6, FreeRTOS, C++

• Developed a real-time crash detection system using FreeRTOS to simulate vehicle dynamics and safety response.

• Designed and implemented multithreaded tasks to manage distinct peripherals:

  • Motor Control Task: Drove a DC motor to simulate vehicle motion with PWM speed control.

  • Potentiometer Task: Adjusted motor speed in real time through ADC input readings.

  • Display Task: Used a uLCD display to show live vehicle speed and current IMU sensor data.

  • IMU Task: Monitored acceleration and shock data via an ICM-20948 sensor to detect collisions.

• Implemented inter-task communication using queues and semaphores for synchronized data sharing between FreeRTOS tasks.

• On crash detection, triggered an emergency stop routine that immediately cut motor power and displayed a warning on the uLCD.

• Integrated hardware peripherals over I2C and UART, ensuring deterministic response under concurrent task execution.

Key Skills: FreeRTOS, Embedded C/C++, Task Scheduling, IMU Integration, PWM Motor Control, Real-Time Systems, uLCD Serial Interface