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Developed a face and emotion recognition Webapp using Machine Learning.

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atul-dhamija/Face_Emotion_Recognition

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Face and Emotion Recognition Webapp

This project was aimed to deploy a deep learning application to recognise person's face and emotion.

Dependencies

You can install Python dependencies using pip install -r requirements.txt , and it should just work. if you want to install package manually, here's a list:

  • Python
  • Scikit Learn
  • Tensorflow
  • OpenCv
  • Pillow
  • Numpy
  • Matplotlib
  • dlib

Dataset

The dataset consist of images of 15 celebrities, 100 for each for face recognition and consists of images of 7 types of emotions, 1300 for each emotion for emotion detection.

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Facial dataset

Emotion dataset

Approach

Step 1. Data Preprocessing

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Step 2. Face and Emotion Recognition Model

Pipeline for model

Step 3. WebApp Framework

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Deployed Web Application

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Result

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References

Viola Jones Documentation

Sklearn

Viola Jones Research Paper

Cascade Classifier

Voting Classifier

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Developed a face and emotion recognition Webapp using Machine Learning.

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