Detailed technical case studies spanning ARM STM32 embedded data acquisition, sensorless BLDC motor control, industrial IoT, energy monitoring, and AI systems.
Unified ARM STM32 embedded data acquisition system for real-time Motor Current Signature Analysis (MCSA) of variable-speed induction motors, developed for a GAIL & CIL sponsored project.
Low-cost sensorless brushless DC motor controller based on ATmega328P, utilizing back-EMF zero-crossing detection, six-step trapezoidal commutation, and a discrete three-phase MOSFET inverter.
End-to-end industrial IoT monitoring and automated pump control system integrating multi-sensor arrays, LoRa long-range telemetry, custom PCB design, and cross-platform mobile application.
Low-cost hybrid energy management system combining microcontroller data acquisition, automated solar-priority source switching, and an on-premises local LLM for natural-language diagnostics.
Connected electrical parameter monitoring and automated connected load control platform based on ESP32 and PZEM-004T. Research paper accepted at BPUT Multi-International Conference 2025 (to be published by CRC Press, Taylor & Francis).
AI-powered CRM platform with parallel outbound calling, real-time speech transcription, live sentiment analysis, and automated lead triage. Finalist among 505 teams at BPUT Hackathon 2025.
Human-in-the-loop clinical workflow assistant converting multilingual patient symptom descriptions, diagnostic reports, and visual observations into structured triage notes for clinician review.