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Emotion-recognition-and-prediction

A real time system to detect human emotions from image and predict its reaction. This is a pre-trained model with an accuracy of 68.7% over FER 2013 dataset. this project was completed as a part of my final year project for B.E. in information technology from pune university.

Prerequisites

Python 3
OpenCV

Installation

pip install tensorflow numpy scipy h5py

Download the trained model from the links given in source/trained-model.txt

Testing

python em_model.py

Run the project

python em_model.py.
-> A prompt will be given to the user to enter the duration for how 
long the application is supposed to run.
-> The appplication will run for the given time and display real time
 feedback of the subject's emotions on the screen.
-> As well as the application will also give a well defined graphical
 representation of the subjects emotions through the
period he/she was monitored.

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A streamlined system to detect human emotions from image and predict its reaction

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