Published Paper Details:

The main objective of this project is collecting and analyzing data about the environment along with providing song recommendation using the current weather conditions. A weather station and air quality monitoring system are important tools for collecting parameters, such as temperature, humidity, wind speed, and precipitation, which can be used to create accurate weather forecasts and improve agricultural practices. Additionally, air quality monitoring systems can measure various pollutants in the air and help identify areas with poor air quality, inform policies and regulations, and protect public health. Overall, weather stations and air quality monitoring systems are crucial for understanding and managing the impact of the environment on our lives. The creation of a playlist to play music at a particular time might be unsettling at times. Although it has been suggested that there is a relationship between our mood and the weather and that listening to music mostly depends on our mood, our approach is to develop an automated system to construct a music playlist depending on user mood and specified weather. The weight of each music file in relation to a certain mood and weather is measured using data mining methods.