Buildings use a lot of energy, with much wasted on HVAC systems. Knowing how many people are in a room is crucial for saving energy. A new model was created to predict room occupancy levels (empty, low, fair, high) using data from sensors like CO2, humidity, and temperature. This model can help solve energy problems in buildings by controlling HVAC systems more efficiently.