Depression is the condition that changes a person-s mind, emotions, or behavior and affects the physical and mental health of an individual. It is important to detect the depression state of the suffer to prevent them from severe illness and suicide. Depression is predicted based on the information expressed by the sufferers in their social media. Depression detection is efficiently performed while analyzing the sufferers behavior and environmental factors along with their social media information. Their behavioral changes and environmental factors indicate the Depression state of the sufferer.
   Environment factors focus on associated information of sufferer mental condition such as location, climate, time, employ-ability and people. Environmental factors influence the changes in the behavior of the suffer that reflects in their social media platforms and lead to discovering the mental illness state. Environmental data-aware behavior modeling aims to analyze the information from the suffers by considering their behavioral changes for surroundings and helps in the effective prediction of depression state for depression detection.