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Syra(USA)

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User Interaction: Users engage with the assistant through a user-friendly chat interface, which collects inputs and queries regarding mental health.

Natural Language Understanding (NLU): Advanced NLU models process user inputs to accurately identify intents and extract relevant entities, ensuring precise understanding of the user's concerns.

Generative AI Model (GPT-3.5): The core Generative AI model generates personalized, context-aware responses to user queries, providing empathetic and relevant support.

Healthcare Data Integration: The system integrates with healthcare databases and APIs, allowing access to accurate and up-to-date information, which enhances the quality of support provided.

Feedback and Continuous Improvement: User interactions are analyzed to collect feedback, which is then used to retrain and improve the AI models, ensuring the assistant evolves and remains effective in addressing mental health needs.

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