Depression is a complex disease with many signs and varying levels of severity. The ideal time to diagnose depression is in the early stages, yet everyone does not go for a clinical assessment at that time. To determine behavioral and physiological symptoms and classify the severity of depression, this article suggests an interactive chatbot that integrates Natural Language Processing (NLP) along with a Symptomatic Neural Network (SNN) symptoms. It can identify various states of depression, rate their severity, and offer individualized recommendations. Deep learning could significantly enhance access to mental health programming and enable clinical support. Intelligent diagnosis and monitoring tools for depressive disorders may offer comprehensive and scalable assistance.