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BrainBeatsX: Expertly Matching Music to Mood

BrainBeatsX goes beyond the melody, diving into the core of music to perfectly align playlists with daily activities. It's where science meets sound, enhancing every moment with the right rhythm.

For Every Listener, Every Mood

Whether you're a focused student, a yogi, or just seeking solace, BrainBeatsX ensures every note resonates with your intention.

How does BrainBeatsX work?

Utilizing the Spotify API and its comprehensive audio features, BrainBeatsX has developed a unique methodology to gauge the emotions in music. By accessing detailed metrics such as tempo, valence, and energy, the platform identifies the moods and sentiments present in songs. This thorough assessment lets BrainBeatsX adeptly align playlists with diverse moods and daily life activities, providing listeners with an optimal musical companion for each occasion.

Deep Analysis

Deep Analysis

For each song, intricate details are delved into, not just focusing on the melody or lyrics.

Averaging Out Emotions

Averaging Out Emotions

When it comes to playlists with multiple songs, averages are calculated to discern an overall emotional tone.

Emotion Mapping

Emotion Mapping

Drawing from the revered Scherer’s circumplex model, calculated values are correlated to specific emotions.

Emotion Mapping

Research-Backed

The methodology has been refined through deep analysis of James A. Russell’s Culture and the Categorization of Emotions".

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Emotion & Music Through the Lens of Culture

The insights from James A. Russell’s research highlight the intricate relationship between culture and emotions. Given that music serves as a universal language but also carries cultural nuances, the methodology behind BrainBeatsX is designed to capture both the general and culturally unique emotional undertones.

Why the Scherer’s Circumplex Model?

The Scherer's circumplex model offers a comprehensive two-dimensional perspective, contrasting arousal with valence, to capture the full spectrum of emotional states. By incorporating calculations from the Spotify API into this model, an intuitive visual representation of the emotions embedded in the music is achieved.

Scherer’s Circumplex Model

Analyzing the Heartbeat of Playlists
with BrainBeatsX

Accuracy

Accuracy

Algorithms are meticulously designed for precise emotion detection.

Exploration

Exploration

Delving beyond the music allows for a grasp of the emotions and their cultural contexts.

Visual Clarity

Visual Clarity

With the Scherer’s model, the emotional landscape of the music is vividly portrayed.

Cultural Insight

Cultural Insight

Methodologies draw from leading research to ensure culturally sensitive analysis.


Discover the emotions in your songs using BrainBeatsX and dive into the essence of your music.

From Code to Melody

Music has always been more than just sound to me—it’s emotion, memories, and a heartbeat to everyday life. Over the years, my love for music deepened into a curiosity about what makes a song evoke particular feelings. This curiosity spiraled into BrainBeatsX, blending my passions and skills.

Marina Pereda, the Developer & Designer Behind BrainBeatsX

With over a decade of experience as a senior front-end developer and web designer, I’ve used my expertise to bring BrainBeatsX to life. My journey across various industries taught me the importance of precision and the nuances of user experience. Every aspect of BrainBeatsX reflects this dedication, aiming to offer you a deeper understanding of your music.

Discover More of My Digital Creations

Curious about my other projects and ventures in the world of design and development? Explore my creative journey and see the digital landscapes I’ve crafted over the years.