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Deep Learning Stream Classification, using client-server architecture for low resource consumption & easy deployment.

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Stream Classification

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Stream Classification Macro Architecture

The subject repository is responsible for Stream Classification. Final classification is concluded on the basis of temporal probabilities & implemented as server-client architecture. Currently three classes can be classified using subject archiecture.

  • Advertisement
  • News
  • Program

The model used in this architecture is ConvNext-Tiny, finetuned using Pytorch framework for Pakistani news channels.

For extensive documentation, please check wiki.

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Deep Learning Stream Classification, using client-server architecture for low resource consumption & easy deployment.

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