Adaptive Music Generator using AI

Abstract

The Adaptive Music Generator is an intelligent system designed to enhance user experience by integrating environmental data with personalized music recommendations. By collecting real- time information from weather stations and air quality monitoring systems—such as temperature, humidity, wind speed, and pollution levels—the system analyses how environmental factors influence human emotions. It leverages this analysis to generate music playlists tailored to the user’s current mood, which is dynamically affected by the surrounding weather and air quality conditions. The project explores the correlation between environmental changes and emotional responses. This innovative approach not only personalizes the music listening experience but also demonstrates the potential of using contextual data in emotion- aware recommendation systems. Ultimately, the system aims to deliver mood-aligned, data- driven music suggestions in real time, promoting user satisfaction and emotional well-being.