[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-30-11-2022-506

Title : DEPRESSION DETECTION USING STATE-OF-THE-ART-CNN
Ratnakar Babu M.1, Jayaram K.2, Arjuna Satya Deepti K.3, Venkata Sai J.4, Deva Madhav G.5

Abstract :

Depression is a state of mind which causes simple sadness to suicidal tendencies so, dealing with such patients is important and time taking as long-time observations are required to analyze them. Our idea is to develop an application that acts as an observer and analyzer. It would be able to keep a patient under live observation analysis which generates time to time data of the patient and calculates them using suitable methods to assert the patient’s mental state based on emotions. This system would replace tedious work hours of doctors who observer their patients for hours to study them. Not only replacing, this would also suggest required action to be taken on the patient based on the levels of depression found in the patient