
For Syra (USA)
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.
