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Abdul Rehman 2050

@ar2050

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About Abdul Rehman 2050

I’m Abdul Rehman, an embedded systems engineer and educator helping students build real-world AI projects

Let's Learn HOW TO SHRINK AND OPTIMIZE Deep Learning models. Currently I am working on Edge AI and for now I am creating a deep learning/Machine Learning models which are able to be deployed on Edge Devices. For most of the time you maybe viewing videos in python and deep learning related videos.

I share my ways of learning things, programming languages, Computer vision, Python, Data Science, Embedded systems, C/C++, Lower level languages like Assembly, Single Board computers like Raspberry Pi or Embedded development boards like Arduino, and FPGAs. Whatever I try new, I like to share it with all of you as well.

Image processing Tools like OpenCV in Python or Image Processing Toolbox in MATLAB.

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Latest Video

Patient Que Counter with Voice

by Abdul Rehman 2050

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Patient Que Counter with Voice

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RealtimeSubCount.com tracks live YouTube subscriber activity with a faster page shell, local caching, and analytics modules that do not block the main counter from loading. This page is designed to keep the count visible first while the deeper charts and supporting widgets stream in behind it.

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The page combines cached API data and fast refresh polling to stay responsive while still tracking changes closely. Exact public YouTube counts can lag, but the page updates far more frequently than the default channel view.

The chart appends new subscriber readings every few seconds. That gives you a rolling growth trace instead of a static count snapshot.

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