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dc.contributor.author | Ahmed Ali, 01-131202-005 | |
dc.contributor.author | Aaliyan Iftikhar, 01-131202-048 | |
dc.date.accessioned | 2024-07-30T06:06:40Z | |
dc.date.available | 2024-07-30T06:06:40Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17649 | |
dc.description | Supervised by Bilal Ashraf Awan | en_US |
dc.description.abstract | Tune Genius is a mobile application for making music compositions with the help of AI model Music Gen. In this project, we have made an Android mobile application using Kotlin and used an AI model to generate musical composition. The AI model is integrated with the mobile app using an API. With this users can generate melodious tunes by giving text prompts. The application analyses the description and generates music based on that analysis. This Project is about learning music in an easy way experimenting with different tunes in a short time and avoiding long testing of music. We believe that music should be accessible to everyone therefore people of different backgrounds and fields can use this app with its user-friendly interface. In a nutshell, Tune Genius is more than just a music Generating App. It is a step forward in the Music Industry, a gateway to musical discovery and creativity. By leveraging user-centric design, we are making music more accessible, engaging, and rewarding than ever before. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Software Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BSE;P-2756 | |
dc.subject | Software Engineering | en_US |
dc.subject | Sequence Diagram | en_US |
dc.subject | AI Music Generation | en_US |
dc.title | Tune Genius | en_US |
dc.type | Project Reports | en_US |