This project leverages cutting-edge AI technology to transform user prompts into beautifully composed music. Using the Gemini model for advanced prompt engineering, it generates precise music notes based on user input. A custom-built algorithm then processes these notes to compose a unique audio file, all seamlessly deployed in a Django framework.
- AI-powered interpretation of user prompts to generate music notes.
- Custom algorithm for composing high-quality, personalized audio tracks.
- Fully deployed and scalable web application using Django.
- User provides a detailed music prompt.
- The Gemini model generates corresponding music notes.
- Custom algorithm composes music from the notes.
- The final audio file is delivered to the user.
- Gemini Model for AI prompt engineering.
- Django for backend development and deployment.
- Python for custom algorithm design and implementation.
Harsimran Singh
Feel free to reach out for feedback or collaboration!
- Expand support for more instruments and genres.
- Introduce advanced controls for tempo, style, and dynamics.
- Optimize audio processing for faster performance.
This project is licensed under the MIT License.