Facial expressions can inform researchers about an individual's emotional state and can be used to suggests various opinion based on it, such as suggest some good music for happy face, suggest good video to make someone happy from his sad state, observing audience emotion over specific notice, etc. It can also be used to train robots based on human behaviours, like how human react on specific words or how do human reacts after listening to something.

Output:

• project report jupyter notebook(.ipynb)
• Presentation file(.pdf)
• Application script(.py)
• CNN saved model(.h5)

• Make sure that facial-exp python script(.py) and model(.h5) are available under same direcory.
• Open terminal/cmd and run the command python facial-exp.py

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