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DSPD Project

Facial expression recognition

Completed Tasks:

  • A neural network with 62% accuracy on test set
  • A simple flask API to consume the model and perform predictionn
  • Dockerization of the flask app

Todo Tasks:

  • Enhance the flask app to have more endpoints i.e to store prediction outputs, to store uset inputs etc that too in a structured manner.
  • Integrate flask app with a database
  • Upload the app to AWS cloud

What it contains:

  • A python nnotebook with EDA and model training code and results evaluation
  • An HTML version of the python notebook for easy viewing
  • A flask web app
  • A dockerfile to build and run a container
  • A video demonstrating the predictions

Doesn't include the training and test data to reduce repo size, can be furnished upon request

Group members: Daniyal Raza 19839 Babar Shamsi 19840 Aisha Ghori Pathan 18297

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  • HTML 66.4%
  • Jupyter Notebook 33.4%
  • Other 0.2%