### 1. INSPIRATION The inspiration behind creating Mood Maestro stemmed from a profound desire to enhance the human experience through the power of music. Recognizing the profound impact music has on emotions, I was inspired to develop a tool that could curate personalized playlists based on the user's mood in real-time using AI and facial expressions. Similarly, it's extremely frustrating searching through your Spotify playlists just to try and find the right song for your mood or a party or a gathering. ### 2. WHAT IT DOES Mood Maestro is a unique application that utilizes advanced algorithms to analyze a user's current mood and, in turn, generates tailor-made music recommendations. By seamlessly integrating with popular music streaming platforms, the app provides users with a dynamic and emotionally resonant playlist that evolves based on their changing moods. ### 3. HOW WE BUILT IT The development of Mood Maestro involved a multifaceted approach. Leveraging a combination of web technologies and APIs, we implemented features such as Spotify integration, mood analysis algorithms built by HumeAi, and a user-friendly interface. The backend infrastructure was designed to efficiently fetch music recommendations and access user preferences, ensuring a smooth and responsive experience. ### 4. CHALLENGES WE RAN INTO Throughout the development process, we encountered several challenges. Integrating with external APIs such as Spotify and HumeAi requires a fee once you exceed a certain token limit, especially those of music streaming services. These complexities required careful navigation. For instance, to be able to use Mood Maestro and access its full features, you would need to have a Spotify Premium account. Additionally, refining the mood analysis algorithms to accurately capture the nuances of individual emotions was a significant undertaking. Overcoming these hurdles demanded a combination of technical expertise and creative problem-solving. ### 5. ACCOMPLISHMENTS THAT WE'RE PROUD OF Despite the challenges, Mood Maestro stands as a testament to our dedication and perseverance. We take pride in achieving a seamless integration with Spotify and HumeAi, providing users with a personalized music journey that aligns with their emotions. The refined mood analysis algorithms have enhanced the accuracy of music recommendations, making the user experience truly remarkable. ### 6. WHAT WE LEARNED The development of Mood Maestro provided invaluable learning experiences. Navigating the intricacies of third-party APIs, optimizing algorithmic performance, and addressing real-time user interactions have enriched our understanding of software development. Furthermore, the project reinforced the importance of user-centric design in creating applications that resonate with people on a deeper level. ### 7. WHAT'S NEXT FOR MOOD MAESTRO Looking ahead, Mood Maestro has exciting potential for growth and enhancement. Future iterations could explore incorporating additional music platforms, expanding the mood analysis capabilities, and integrating user feedback mechanisms. The goal is to continually refine and evolve the application, ensuring that it remains a cutting-edge tool for enhancing the emotional connection between users and their music.

Mood Maestro

Discover Personalized Music with Emotion Sensing Technology

Discover Personalized Music with Emotion Sensing Technology