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@article{184124,
        author = {Lagudu Thrilok Naidu and Dr. N. Padmaja Lavanya Kumari},
        title = {PersonHealth: A Healthcare Website with Chatbot Integration Using Django and Language Models},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {167-177},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184124},
        abstract = {This study introduces Person Health, an integrated web-based healthcare platform designed to offer both general and personalized medical support. The system leverages advanced Natural Language Processing (NLP) and machine learning models to enhance user engagement and response accuracy. For general medical queries, a fine-tuned BioGPT model is employed to deliver medically relevant answers. Meanwhile, a Retrieval-Augmented Generation (RAG) architecture, utilizing FAISS for semantic similarity search and the Gemma model for generation, powers profile-based, symptom-only, and hybrid queries. This setup ensures context-aware, user-specific recommendations based on inputs like age, weight, height, and diet. Key interactive mod-ules include mood tracking, nutrition summary fetching, water intake logging, and BMI calculation, each con-tributing to a comprehensive health overview. The plat-form also integrates a specialist finder through symptom-to-specialist machine learning mapping, enhanced with Google Maps for real-world connectivity. Wearable simulator support enables real-time monitoring of heart rate, steps, and sleep, accompanied by 7-day graphical trends of vitals and weight. System evaluation across all modules indicated high accuracy and contextual alignment. Personalized health tips matched user health contexts effectively, and symptom-to-specialist predictions were consistent and precise. The Person-Health platform exemplifies a scalable, AI-driven solution for structured, accessible, and intelligent digital healthcare—combining retrieval, reasoning, tracking, and navigation in one unified interface.},
        keywords = {Biomedical NLP, Django REST Framework, Healthcare Chatbot, Wearable Integration, ReactJS Frontend, Retrieval-Augmented Generation (RAG)},
        month = {September},
        }