Contains -- main.py, camera.py, model.py, pipfile, pipfile.lock, Facial_Expression_Training.ipynb, haarcascade_frontlface_default, model.json, model_weights.h5, requirements, pycache, templates, test, utils.
Introduction to the project This project is based on opencv and machine learning . It gives you the real time Facial Expression Detection and predict what a person is thinking .
The both training and evaluation operations would be handled with Fer2013 dataset.
You can get the dataset from the given Link "https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data"
To run this you have to open the terminal (cmd) then first run the "model" file ,then run the "camera" file , then run the "main" file at the end of this you will get localhost port no. run it in your browser , that,s all.
Technologies used are PYTHON MACHINE LEARNING OPEN-CV ANACONDA JUPITER NOTEBOOK