I am Remy Saksik, I am developing a real time Android acoustic application applied to music theory.
The main feature of this project is working in an accurate way, I will be glad to give you a demo to prove the well working condition of the code.
I am actively applying for mobile development position worldwide.
This development is also used to show the skills I acquired in Android to recruiters.
I am for now the only contributor, this project is hosted on a private repository.
I will allow the technical recruiters to have access to the code.
In order to access it, request access by sending me an email to: [email protected]
Note: You need a valid GitHub account to access the private repository
I am sharing with you the project's roadmap and the concepts used.
- Get the official Android google training (150 USD)
- Optimise FFT calculation using native C (NDK)
- Implement music prediction using machine learning
- Publish the App on the Playstore by 2020
| Mathematics | Advanced Android | Basic Android | Object Oriented | Java |
|---|---|---|---|---|
| Fast Fourier Transform | Handler Thread | Access the device memory | Inheritance | List |
| Cooley-Tukey FFT Algorithm | Runnable tasks | Access the microphone | Abstraction | Hashmap |
| Radix-2 DIT | Worker Thread | Getting stream from the microphone | Interfaces | Recursion |
| Linear matrix search | Queue mechanism | Callbacks | Polymorphism | Buffering |
| Inter-process communication | Custom responsive UI view | |||
| Asynchronous task | Custom activity | |||
| View Model | UI components | |||
| Room | Recycler View | |||
| Fragments | ||||
| Runtime Permissions |