Healing Hands for Depressed People (D-HH) through analysis of human body signals to predict the level of depression and recommendation of suitable remedy

The present life style of human beings across globe is full of activities performed with stress due to competition, volume of work, travel needs, planning and defined performance. The study shows that the most altered age group is the young individuals who contributes a lot of development activities. The survey shows that, one of five individual are prone to depression which may lead to nonperformance or attempt to destroy self from life. Dealing with the real time scenarios with life full of stress, it is hard for a depressed individual to go to a psychiatrist and take traditional treatment. We propose the formalization of the analytic system based on machine learning algorithm, which will be able to predict the level of depression for individuals and suggest respective remedy. The “Healing Hands for Depressed People System” (D-HH) performs to accurately correlate the level of depression and justify the remedy given with the opinions of experts in domain. This significantly reduces the problem of primary consultancy from doctor and traditional treatment. The D-HH efficiently fits in the pockets of people in the modern era and add ease in this hectic life. We present the results of the implementation which shows considerably accurate and reliable discretion of the affected.