🦯 An IoT assistive device using Arduino Uno & HC-SR04 ultrasonic sensor to help visually impaired individuals detect obstacles and navigate safely. Features distance-proportional buzzer and LED alerts.

IoT wearable system for monitoring ASD patients using ESP32, MAX30102, MPU6500 and GPS with Telegram alerts.

A complete IoT Healthcare System for remote patient monitoring. Features a Flutter mobile dashboard, Firebase backend, and a Master-Slave hardware architecture using ESP8266 & Arduino for real-time vital tracking and room control.

Scenario-based comparative analysis framework for distributed intelligence architectures in healthcare and green energy systems. Introduces RS-CADI to study constraint trade-offs, failure-cost asymmetry, and strategic architectural biases using a qualitative, game-inspired analytical lens.