Abstract
Weather Tunes is a weather-based music recommendation system. This innovative weather-based music player harmonizes with the ever-changing weather, enriching user’s listening experiences through dynamic, weather inspired melodies. WeatherTunes aims to seamlessly integrate weather data with artificial intelligence to curate personalized playlists tailored to evoke emotions and suit the atmospheric conditions in real time. The core concept of WeatherTunes revolves around capturing weather data from reliable sources, such as meteorological APIs, to interpret atmospheric conditions such as temperature, humidity, precipitation, and atmospheric pressure. These parameters are then translated into specific emotional indices that form the foundation of the music selection process. Upon launching the WeatherTunes application, users are presented with a visually captivating interface that displays the current weather alongside the associated emotion or mood. Users can adjust the settings to customize their music experience further.
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