<ul><li>A multimodal Conversational AI system for medical diagnostics is introduced on GitHub, aiming to enhance the diagnostic process through advanced artificial intelligence.</li><li>The system utilizes Retrieval-Augmented Generation (RAG) for textual data analysis and LLaVA for processing medical imagery, such as chest X-rays, to provide comprehensive medical consultation and educational support.</li><li>Key Python files in the repository, like new_temp.py and temp.py, handle model loading and data processing to ensure efficient system response to queries.</li><li>This AI system has real-world applications in remote healthcare and medical education, potentially transforming medical diagnostics and improving online consultations using AI-powered insights.</li></ul>

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