We are trying to test early-stage depression using a fun way so that people are intimated before hand. It has a questionnaire at the beginning which test human behaviour and based on several parameters. Next, comes human expression scanning which scans human expression through web cam and analyses human sentiment based on both human expression and questionnaire about human behaviour.
It basically tells about human sentiment and tells whether a person is depressed or not.
Training the Machine Learning model is a huge task. It should correctly analyse the human expression and give the correct result. This is a problem we faced, to correctly train the ML model.
To overcome from this problem, we tried various experiments with different human beings to check whether the model is giving correct response or not.
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