Depression is one of the most serious problems faced by today’s world. At the same time, it is the most difficult mental disorder to detect. Symptoms of depression vary from person to person. So it’s difficult for a doctor to diagnose and treat it. And most of the methods to diagnose depression depend on an interactive session with the patient or on the basis of behavioral observation. It is observed that most of the time patients don’t give correct answers to the question asked or tries to behave normally in front of the doctor, making it difficult for a doctor to diagnose depression. To overcome all these difficulties we have developed an automatic depression analysis method that uses dynamic facial landmark descriptor. This method gives the Depression score, on the bases of which we decide a person is depressed or not. As it does not involve any human interference such as clinical interview, doctor’s interpretation, it gives accurate results.