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@article{170028,
        author = {N.ALAGUTAMIL and M.CHANDRU and U.SYED SAMI and Mrs.P.VIDHYA},
        title = {VIRTUAL REALITY HEALTH ASSISTANT FOR SYMPTOM AND QUERY ANALYSIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2995-2999},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170028},
        abstract = {This project introduces an AI-assisted Telemedicine Platform to address healthcare access challenges in rural India. Accessible via a website or mobile app, the platform uses advanced AI, including Natural Language Processing (NLP) and deep learning models, for symptom evaluation and medical query resolution. Patients authenticate securely using biometric scanning and describe symptoms in natural language, which the system processes using Named Entity Recognition (NER) and GPT-based models to provide diagnostic recommendations. A key feature is a realistic, AI-driven virtual avatar, developed with frameworks like Unity or Unreal Engine, that delivers medical guidance in an engaging, immersive manner. Human-like audio, generated by Text-to-Speech (TTS) models like Azure TTS or WaveNet, is synchronized with the avatar’s facial animations. The platform’s frontend, built with the MERN stack, offers a user-friendly interface for web and mobile users. This solution aims to provide expert healthcare services to rural communities using advanced AI and virtual reality.},
        keywords = {Symptom Evaluation, Medical Query Resolution, Natural Language Processing (NLP), Deep Learning Models, Named Entity Recognition (NER), GPT-based Models, Virtual Avatar, Text-to-Speech (TTS), Azure TTS, Unreal Engine, AI-driven Facial Animation, MERN Stack, Immersive Virtual Reality.},
        month = {November},
        }