Mechanical ventilation systems help to determine the thermal environment and quality of indoor air of smart buildings. These systems not only control airflow and temperature but also significantly impact the comfort, health, and energy performance of the occupants, as well as the buildings themselves. In regular mechanical ventilation settings, static operation schedules do not acknowledge the varying climatic conditions and occupancies, thus making the energy consumed inefficient and improving IEQ. To address these limitations, climate-responsive mechanical ventilation systems have emerged as a creative solution. These systems utilize real-time environmental information, including outdoor temperature, humidity, CO₂, and occupancy rates, to adjust ventilation rates and operational parameters accordingly. Through advancements in intelligent sensing, building automation, and control algorithms, adaptive ventilation strategies that orchestrate the operation of HVAC based on weather fluctuations outside the building and the need for comfort within can now be adopted in smart buildings. Embedding thermal zoning with responsive airflow control, such systems enrich sustainability and livability in contemporary buildings. The proposed research studies the performance of two ventilation system models, one produced based on static scheduling and another with dynamic climate-responsive control, in a simulated environment for a smart building. Comparative analysis is based on energy consumption, thermal comfort, and indoor air quality in different climatic syntheses. Metrics such as P matte mean vote (PMV), Predicted percentage of dissatisfied (PPD), and energy use intensity (EUI) are used to perform quantitative analysis. From the findings, we can infer that climate-responsive ventilation systems represent considerable increments in occupant comfort and energy efficiency in comparison with conventional thinking. This paper provides an insightful perspective on how climate-adaptive mechanical systems can play a crucial role in designing intelligent and sustainable buildings conforming to future urban needs.