With the aid of emotion detection technology, we are creating an app that enables users to receive real-time therapy. There are two sets of users: a. Venter b. Listener Venters can use a chat feature to send voice messages to listeners. The voice notes are labeled according to the emotional levels of their voice, i.e. sad, afraid, happy etc. We believe this is important because we often misunderstand others and fail to say the right words. With the correctly detected emotion, the helpline service becomes more efficient. The venter has the option to stay anonymous. The listeners are selected based on an automated emotional intelligence assessment. The test will use the ”Befriending Model” which has been proven to be scientific and successful to tackle depression. The listeners will guide the venters with intensive training. The various mental health exercises are based on the venter’s mental state after consulting with reputed psychologists and psychiatrists.