Cooling systems are becoming an important part of everyday life with the exponential increase in cooling devices. Consequently, the power consumption is also increasing simultaneously. This paper aims to design an intelligent system to analyze the automation of cooling systems for smart buildings by applying fuzzy logic rules for different temperature and relative humidity parameters to control the surrounding air and power consumption. In such systems, the temperature and the relative humidity are considered input parameters, and the Ac mode is an output parameter. The system obtains the input data from the Temperature and humidity (DHT11) sensor by the Arduino microcontroller, the obtained data are then analyzed by the fuzzy logic control system. This system automatically controls the cooling devices when the temperature varies between 0 oC to 50 oC, and the relative humidity value varies between 0% to 90%. The analyzed data then is sent to ESP8266-12E Node MCU Wi-Fi microcontroller to monitor and control the real-time parameters online using the IoT through ThingSpeak. This system can provide an early warning indication to the user to acknowledge that the real-time remote parameters are changed and at the same time it triggers the cooling system to adapt the temperature condition to a desirable one. The obtained results show the proposed system can be applied practically in smart buildings.