This research explores a solar photovoltaic-driven indirect evaporative cooling system featuring a novel multivent dry channel, demonstrating the significant potential for application in energy-efficient heating, ventilation, and air-conditioning systems. The experimental analysis highlights the impact of combined process and working air velocities, spray water temperature, and specific humidity on the system's thermal performances, like cooling capacity, dew point, and wet bulb effectiveness. The findings revealed that the system achieves an air outlet temperature of 19.8 degrees C and a high coefficient of performance of 6.17 at the low specific humidity of the inlet air. Dew point and wet bulb effectiveness reach 56.2 % and 88.47 %, respectively, at the low specific humidity of inlet air. Additionally, integrating a preheating unit further enhances the system's performance, achieving a wet bulb effectiveness of 91 %, a dew point effectiveness of 85.6 %, and an air outlet temperature of 19.7 degrees C. The machine learning model has been used to predict cooling capacity, wet bulb effectiveness, dew point effectiveness and COP with accuracies of about 15 %, 11 %, 6 % and 15 %, respectively. The developed evaporative cooling system uses renewable energy to provide a sustainable solution for air conditioning applications, helping to lower energy use and reduce environmental impact.