Inspiration
๐As someone who loves listen to music for all kinds of reasons, including enjoyment, stress relief, etc. and as someone who loves AI/ML, I made MoodMixer as a perfect tool to find new songs that fit my mood in a curated playlist.
๐ตThe inspiration for Mood Mixer came from recognizing the powerful impact music has on mental health and emotional well-being. Music has the ability to uplift spirits, reduce stress, and provide a therapeutic outlet for emotional expression.
๐ปMusic, combined with Natural Language Processing (NLP) can create a unique and personalized experience for users. NLP helps us understand users' emotions through their text input, making it possible to curate playlists that align with their current emotional state.
What it does
๐ต Mood Mixer is an innovative platform that empowers users to express their emotions freely through diary entries. ๐ Utilizing advanced Natural Language Processing (NLP) algorithms, Mood Mixer skillfully identifies and analyzes the underlying emotions within the text. ๐ต๏ธโโ๏ธ Based on this emotional understanding, the system thoughtfully curates personalized playlists consisting of four soulful songs to uplift and soothe the users' spirits. ๐ถ Whether users are feeling joyful, reflective, stressed, or down, Mood Mixer offers a handpicked collection of music to match their emotional needs. ๐ง With Mood Mixer, music becomes a therapeutic companion, helping users navigate their emotional journeys and fostering a positive impact on mental well-being.
How we built it
๐จ Mood Mixer was brought to life through the ingenious combination of Streamlit and the ChatGPT API. ๐ง The foundation of the platform lies in leveraging OpenAI's ChatGPT API, a powerful language model, to process and understand users' diary entries and extract underlying emotions. ๐ป Utilizing Streamlit, a user-friendly web application framework, we created an intuitive and interactive interface for users to input their emotions and explore the curated music playlists. ๐ The seamless integration of Streamlit and the ChatGPT API allowed us to efficiently develop a user-centered and engaging platform, providing users with a delightful and therapeutic music experience.
Challenges we ran into
๐ง During the development of Mood Mixer, we encountered several challenges, with one of the primary hurdles being the integration of the ChatGPT API. Integrating an API requires careful attention to API documentation, endpoints, and authentication, which demanded significant technical expertise. ๐ Additionally, handling API responses and error handling added complexity to the implementation. ๐ค We also faced performance-related challenges, as language processing can be resource-intensive, necessitating optimizations to ensure smooth user experience. ๐ป Despite the challenges, our dedicated team persevered, collaborating closely with API documentation and support to overcome obstacles and create a seamless, empowering platform for users to explore the emotional landscape of music. ๐ถ๐ฏ
Accomplishments that we're proud of
๐ We take immense pride in successfully creating Mood Mixer, a platform that combines NLP and music to empower users' emotional well-being. ๐ต Our team's accomplishment lies in crafting an intuitive and user-friendly interface that seamlessly integrates the ChatGPT API, providing users with personalized music playlists based on their emotions. ๐ป๐ถ The positive feedback and impact on users' mental health have been truly rewarding, making our effort in building Mood Mixer an achievement we cherish and celebrate. ๐
What we learned
๐ฏThrough building Mood Mixer, our team learned valuable insights in NLP, API integration, and user-centered design. Witnessing the positive impact of music on mental well-being emphasized the significance of addressing emotional health through technology. Effective teamwork and technical optimizations contributed to creating an intuitive platform. This experience deepened our understanding of the transformative power of music and the importance of supporting mental health through innovative solutions. ๐ต
What's next for MoodMixer
๐The future for Mood Mixer holds exciting possibilities and expansions. In the next phase, we plan to:
๐ถEnhance Music Recommendations: Continuously refine our NLP algorithms to provide even more accurate and personalized music recommendations, tailored to individual emotions and preferences.
๐ฑMulti-Platform Accessibility: Extend Mood Mixer to various platforms, such as mobile apps and web browsers, to reach a broader audience and make emotional support readily available.
๐คCommunity Engagement: Foster a vibrant community where users can share their emotional experiences, music discoveries, and support each other on their mental health journeys.
Built With
- chatgpt
- natural-language-processing
- streamlit

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