There is a stark difference between emotionally unintelligent systems and integrated, human-like AI companions regardless of the increasing break-through in the fields of conversational AI and modern technologies. It has subsequently led to the need of a smart AI-powered system that would cater to the emotional wellbeing and mental support. This project has been built to address the challenges and limitations of existing and conventional systems to develop an intelligent, AI-powered, multimodal, and emotional guidance model. The primary focus of the model is on speech, facial expressions, and emotions detected through speeches to provide a comprehensive, personalized, and empathetic response. The model with its core features and cutting-edge technologies like Hugging Face helps in providing accurate and empathetic responses. Moreover, the multilingual feature of the model helps in capturing a broader range of users across diverse linguistic backgrounds. The model has been designed to emphasize scalability, interoperability, and flexibility to provide better synchronization in terms of multimodal interaction. The project has been built with the idea and motive to help the users express, understand, and manage their emotional states. Therefore, the model provides a comprehensive and integrated system adapting to the emotional state of the users for providing improved, personalized, and empathetic responses in real-time with clarity and precision.

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SmartCARE: A Next-Generation AI-Powered Multimodal Application for Personalized Healthcare and Therapeutic Support

  • Raj Bhattacharyya,
  • Tonima Das,
  • Kajal Reddy,
  • Samprit Das,
  • Bidushi Chowdhury,
  • Sudipta Sahana

摘要

There is a stark difference between emotionally unintelligent systems and integrated, human-like AI companions regardless of the increasing break-through in the fields of conversational AI and modern technologies. It has subsequently led to the need of a smart AI-powered system that would cater to the emotional wellbeing and mental support. This project has been built to address the challenges and limitations of existing and conventional systems to develop an intelligent, AI-powered, multimodal, and emotional guidance model. The primary focus of the model is on speech, facial expressions, and emotions detected through speeches to provide a comprehensive, personalized, and empathetic response. The model with its core features and cutting-edge technologies like Hugging Face helps in providing accurate and empathetic responses. Moreover, the multilingual feature of the model helps in capturing a broader range of users across diverse linguistic backgrounds. The model has been designed to emphasize scalability, interoperability, and flexibility to provide better synchronization in terms of multimodal interaction. The project has been built with the idea and motive to help the users express, understand, and manage their emotional states. Therefore, the model provides a comprehensive and integrated system adapting to the emotional state of the users for providing improved, personalized, and empathetic responses in real-time with clarity and precision.