With the ultimate objective of advancing the indoor environmental conditions in office spaces, the project follows a novel approach in which hazardous situations are prevented instead of being rectified after they are detected through sensing devices.

Using neural net models that can predict the evolution of indoor environmental conditions, the project provides a subjective forecast of comfort measures in office spaces. The forecast is shared with users through persuasive but unobtrusive mechanisms, leading to users' preventive actions while not disrupting their workflow.