Abstract:
In today’s generation, depression is one of the most common mental health disorder
which is affecting many people’s lifestyles especially the youth generation. This
impacts on their education, profession and in their daily routine. There are many
software applications evolved for depression and reviews of these application indicates
that importance given for video conferencing in online therapy is low which leads to
several difficulties for clients and the therapists such as lack of engagement and
adherence, insufficient time, and also provide insufficient support like lacking in proper
evidence and monitoring improvements which is a significant concern of the client’s
therapy progress. Hence the ultimate aim is to research and develop an effective
application for depression therapy which has the ability to predict emotions of the
clients using facial emotion recognition and estimating their depression and
improvement level. This application will allow the users to connect with the therapists
for depression therapy and will have the tendency to assist the therapist and the client
to monitor the progress on each session."
