A significant undertaking, climate monitoring has an impact on human factors in many domains, such as the environment, agriculture, soil productivity, rainfall, storms, natural disasters, and everyday social activities. This study looks into tracking and analyzing weather conditions using sensors with artificial intelligence built into an Internet of Things environment. The current climatic conditions have resulted in a major alteration of the environment due to various primary organic and inorganic chemical pollutants. These elements significantly influence how the climate shifts. Temperature, humidity, air quality, pressure, precipitation, wind speed, and other variables are identified by the proposed study using report-based sensor network analysis and data extraction from an IoT-based cloud environment. With the help of integrated AI sensors, it is possible to predict and keep track of the climate over the sampled time period using the data that is currently available. An Arduino UNO, a Wi-Fi module, and a ThingSpeak upload are used to finish the task of exacting temperature and humidity monitoring.