This paper provides a description of how Virtual Agents can be useful in helping people with Depression and Anxiety, and how they can adapt according to the needs of the user, with the main goal of Sentiment Analysis. The Virtual Agent uses multiple Sequence to Sequence models to automatically generate texts based on the current conversation as well as performing the sentiment analysis with intent manipulation. The Virtual Agent primarily tries to emphasize on "Motivational Learning" to help the users overcome their problems. With a series of parallel intent recognitions, the user's overall mental condition is determined and the solutions are provided on the basis of their problem domain. After analyzing the success that motivational quotes and videos have had for depressed people, the proposed system also tries to achieve the same by providing the users with motivational content that gives them constant hope to move forward in life and helps deal with problems. The system revolves round this primary goal: the concept of motivation.
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