Fahisa Perumkolon

projects Integrated Data Acquisition System for Vehicle Monitoring Technologies: Embedded C, ARM7 LPC2129, UART, SPI, I2C, ADC, RTC, LCD, GPIO • Designed and developed a real-time vehicle monitoring system using ARM7 LPC2129 microcontroller with interrupt-driven architecture. • Integrated temperature, voltage, and ambient light sensors with ADC modules for accurate analog-to-digital data acquisition. • Configured multi-protocol communication (UART, SPI, I2C) for reliable peripheral interfacing and GPIO-based control logic. • Developed embedded firmware for real-time data processing, LCD display output, and PC data transmission and logging. • Implemented RTC module for timestamped data logging, enabling historical trend analysis and post- processing. IoT-Based Air Quality Monitoring System Technologies: ESP32, Embedded C, Blynk IoT Platform, MQ-135, MQ-7, GP2Y1010AU0F, Wi-Fi • Designed an IoT-enabled air quality monitoring system using ESP32 microcontroller with gas (MQ-135, MQ-7) and dust (GP2Y1010AU0F) sensors. • Developed embedded firmware for real-time sensor data acquisition, processing, and wireless Wi-Fi transmission to Blynk IoT platform. • Implemented remote monitoring dashboard enabling live environmental data visualization from any internet- connected device. • Performed sensor calibration and end-to-end functional testing, achieving measurable improvements in system accuracy and reliability. Eye and Voice Controlled Mouse Cursor for Physically Disabled Technologies: Python, OpenCV, MediaPipe, Vosk Speech Recognition, PyAutoGUI • Developed a hands-free human-computer interaction system for physically disabled users combining computer vision and offline speech recognition. • Implemented real-time eye-gaze tracking using MediaPipe Face Mesh and OpenCV for precise cursor navigation and blink-based click detection. • Integrated Vosk offline ASR engine for reliable voice-command execution including mouse clicks, scrolls, and keyboard shortcuts. • Optimised the processing pipeline for low-latency performance on standard hardware, significantly improving accessibility and usability.