Published Paper Details:

Abstract -- Indoor Air Quality (IAQ) has emerged as a critical determinant of human health, comfort, and cognitive productivity, particularly as urbanization leads individuals to spend approximately 90% of their lives in enclosed environments. Conventional ventilation systems, which typically operate on static schedules or manual controls, fail to respond to dynamic fluctuations in pollutant concentrations and occupancy levels. This lack of adaptability often results in an insufficient air circulation leading to the accumulation of hazardous contaminants such as carbon dioxide, VOCs and significant energy inefficiency due to unnecessary operation. This paper presents a comprehensive study on the design and implementation of an intelligent, IoT-based Smart Ventilation System. By integrating low-cost, high-efficiency sensors such as the MQ-135 for air quality and the DHT11 for temperature and humidity, the system enables real-time environmental monitoring via a microcontroller platform. The proposed solution utilizes automated control algorithms to dynamically adjust exhaust fan speeds and air intake based on live sensor feedback, facilitating Demand-Controlled Ventilation. This project focuses on technical simplicity and low power consumption, making it a feasible intervention for residential, educational, and commercial spaces. The system bridges the gap between environmental health and energy conservation to provide a cost-effective path toward healthier indoor ecosystems.