  After the pandemic, artificial intelligence (AI) powered support for mental
health care has become increasingly important. The breadth and complexity of
significant challenges required to provide adequate care involve: (a)
Personalized patient understanding, (b) Safety-constrained and medically
validated chatbot patient interactions, and (c) Support for continued
feedback-based refinements in design using chatbot-patient interactions. We
propose Alleviate, a chatbot designed to assist patients suffering from mental
health challenges with personalized care and assist clinicians with
understanding their patients better. Alleviate draws from an array of publicly
available clinically valid mental-health texts and databases, allowing
Alleviate to make medically sound and informed decisions. In addition,
Alleviate's modular design and explainable decision-making lends itself to
robust and continued feedback-based refinements to its design. In this paper,
we explain the different modules of Alleviate and submit a short video
demonstrating Alleviate's capabilities to help patients and clinicians
understand each other better to facilitate optimal care strategies.
