Neon Beats is a production-grade Flutter music streaming application designed to efficiently handle large-scale audio libraries exceeding 50,000 tracks. The application is built using the BLoC (Business Logic Component) architecture pattern, ensuring a clean separation of concerns and predictable, scalable state management.
It delivers a smooth, high-performance user experience with optimized audio playback, dynamic UI updates, and structured data handling. The architecture allows easy maintainability, testability, and future scalability for real-world deployment.
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Developed an end-to-end Machine Learning powered Android application that predicts loan approval using applicant financial data such as income, credit history, education, and employment status.
Built and trained a predictive model and deployed it through a REST API for real-time decision making inside the mobile app.