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Studies reveal that poor indoor air quality has resulted to a drop in academic performance and affected the comfort and concentration level of students consequently impacting their learning ability during the lecture. Most of the studies on indoor air quality in university settings largely focus merely on the measurement of parameters like temperature, humidity, C O 2 and P M 2.5, etc., primarily dealing with perception-based study. Moreover, existing works consider installation of sensors in each and every lecture hall which incurs huge cost, hence may not be feasible for many Universities in low and medium economy countries. This paper proposes IndoAirSense, a low-cost, effective framework for indoor air quality estimation and forecasting in the context of university classrooms. In contrast to the existing approaches, assuming similar ambient and structural features of classrooms, this work considers deploying …