Source Code Repos

My Adventures with SmartRecognition

https://github.com/jklinin/SmartRecognition

Hello, fellow tech enthusiasts! 🎵

If you’ve been following my musings, you know I’m on a quest to bring a fantastic sound recognition system to life. Today, I’m thrilled to let you in on a secret: the codebase is now live on GitHub!

Introducing: SmartRecognition

That’s right! After hours of coding, debugging, and refining, I’ve decided to push my project onto GitHub. And here’s why you should check it out:

  1. Cutting-edge tech:
    The repository features a seamless blend of Java’s versatility and TensorFlow’s prowess in AI. Plus, a dash of Python for that analytical edge.
  2. Transparent Progress:
    See the development journey in all its glory. From the initial commit, branching strategies, to the latest advancements, it’s all there.
  3. Collaboration Opportunity:
    If you’re as excited about sound tech as I am, let’s join forces! Feel free to fork, suggest improvements, or open a pull request.

A Peek Behind the Curtains:

The project leans heavily into the Clean Architecture, paving the way for scalability and maintainability. Here are some highlights:

  • Sound Detectives:
    The entities SoundFile and AnalysisResult play pivotal roles in the whole ecosystem.
  • Observer Antics:
    A built-in alert system that springs into action with every new sound recording.
  • Python Magic:
    Yep! I’ve weaved in Python scripts to further refine the sound analysis process.

Join the Adventure:

If you’re curious about the ins and outs, or if you’ve got insights to share, SmartRecognition awaits. Dive in, explore the code, star it if you like it, and let’s make sound smarter together!