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@article{195435,
        author = {Megna J. and Dr. Vani G.},
        title = {AI Health Assistant Chatbox},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {67-71},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195435},
        abstract = {In this paper, a design and development of an AI Health Assistant Chatbot is proposed with an aim of enhancing accessibility, efficiency, and quality of preliminary healthcare support to patients. This proposed system utilizes various artificial intelligence methodologies, such as natural language processing (NLP) and various machine learning algorithms, to enable a real-time conversation with patients and offer preliminary healthcare support to patients. This chatbot is designed and developed using Python for the front-end interface and MySQL for the backend database management system, and it is capable of understanding user queries and providing possible conditions and general advice to patients. This proposed system is useful in providing preliminary healthcare support to patients, and it reduces the workload of healthcare professionals, especially in remote and underserved regions of a country. This research aims to show the potential of artificial intelligence in revolutionizing digital healthcare and smarter health management methodologies.},
        keywords = {AI Health Assistant Chatbot, Artificial Intelligence in Healthcare, Natural Language Processing, Machine Learning, Symptom Analysis, Medical Chatbot, Digital Healthcare, Healthcare Automation, Patient Support System, Python Based Application, MySQL Database, Intelligent Systems, Virtual Health Assistant, Clinical Decision Support, e-Health Solutions},
        month = {March},
        }