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  ## How we built it 
 - **Database:** [Azure Cosmos DB (v-core)](https://learn.microsoft.com/en-us/azure/cosmos-db/mongodb/vcore/introduction) for its robust, scalable database services to manage dynamic data requirements efficiently.
-- **LLM:** The [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/overview) platform was integrated for generating empathetic, context-aware responses through advanced AI models like GPT 3.5.
+- **LLM:** The [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/overview) platform was integrated for generating empathetic, context-aware responses through advanced AI models like GPT 4o MINI.
 - **AI Services:** [Azure Speech Services](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/overview) enable users to interact with the platform using their voice, improving accessibility and user experience. Speech-to-text allowed users to input requests through speech, while text-to-speech provided responses audibly using _window.speechSynthesis_.
 - **Frontend:** [React](https://react.dev) was chosen for its efficiency in building interactive user interfaces, with [Vite](https://vitejs.dev) used to optimize the development experience and [MUI](https://mui.com) (Material-UI) to design a modern, user-friendly interface.
 - **Backend:** [Flask](https://flask.palletsprojects.com/en/3.0.x/) was chosen to manage backend operations, including API routing and middleware functionalities, due to its lightweight and unopinionated structure.