Artificial intelligence and machine learning techniques are used to more precisely predict weather conditions. There have been employed the distinct parameters to describe the weather during the research process, for instance, temperature, precipitation, evaporation, sunshine, wind speed, wind direction, and humidity. The purpose of the study is to contrast the capabilities of machine learning and artificial intelligence in terms of imagining current weather conditions and forecasting. The supplied data is the aspect of artificial intelligence and machine learning that is more crucial. It can anticipate the weather to use some modules with ease if we have the right data. The weather has various influences on how individual live daily lives and has attracted scientific research because of its substantial impact on human life. The weather needs to be predicted very accurately. The weather, including temperature, humidity, and rainfall, for example. The recent emergence of machine learning techniques together with a significant amount of weather observation data. Using the use of a machine to anticipate the weather with the aid of historical data. Present-day numerous data analysis approach is readily available for weather forecasting. Therefore, there must be analysed these data extract some insightful information and purpose. Data mining and machine learning can be used in effective weather forecasting.