RM Shahriar Hoque | 2025 I.S. Symposium

Name: RM Shahriar Hoque
Title: HomeOrbit: A Personalized and Adaptive IoT-Based Home Automation System
Major: Computer Science
Advisors: Sofia Visa; John Musgrave

Intelligent home automation systems have gained prominence with advancements in IoT technologies, yet many lack adaptability to individual user preferences. This thesis presents HomeOrbit, a modular smart-home prototype designed to address this gap through personalized automation. The system integrates an ESP32 microcontroller with environmental sensors (DHT11 for temperature/humidity, a photoresistor for ambient light) and actuators (LED indicators) to enable context-aware responses. A multi-layered software architecture employs MQTT for efficient data communication and a web-based GUI for real-time monitoring and manual control. While the current implementation utilizes rule-based logic (e.g., activating “Coffee Mode” under specific temperature/humidity thresholds), the framework explores future integration of machine learning for adaptive behavior. Key contributions include a scalable hardware design, sensor-actuator coordination, and a user-centric interface. The prototype demonstrates the feasibility of personalized automation and lays the groundwork for expanding IoT interoperability and extensibility.

Posted in Symposium 2025 on May 1, 2025.