IoT fall detection system with real-time alerts, sensor monitoring, and a live dashboard for remote safety tracking.

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

🦯 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.

ESP32-based smart medication reminder system with real-time scheduling, automated dispensing, and web-based logging interface.

A real-time intrusion detection system combining federated learning and stream processing for privacy-preserving threat detection in healthcare IoT.

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.

An IoT-based Smart Hospital Bed model using ESP32, featuring offline voice control (DFRobot), vitals monitoring (MAX30100), and remote management via Blynk IoT.

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.