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@article{188287,
        author = {Evani VSS Lalitha and Nalluri Tulasi and Parisa Trisha},
        title = {HEALTHCARE CHATBOT: BRIDGING HEALTHCARE WITH INNOVATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1423-1429},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188287},
        abstract = {Access to timely and affordable healthcare remains a pressing issue, especially in underserved regions where doctor shortages and delayed diagnoses are common. AI healthcare chatbot is used for medical guidance, symptom analysis and also it will provide the information about the health diseases. The primary goal of the proposed healthcare chatbot is to reduce the burden of the healthcare professionals and also with in less cost we can cure some of the resolvable small symptoms like fever, cough, cold and many other .This healthcare chatbot will support 24/7.Especially it is used for the poor people who can’t go for the hospitals they can cure their disease by using this AI healthcare chatbot. And moreover, the data provided by the user to the chatbot is stored in very confidential manner and it is secure platform. This proposed chatbot uses the Natural Language Processing (NLP) technology and Machine Learning (ML) algorithms. The backend is developing using python. Because it is more robust and it gives the intelligent responses and user interaction. The chatbot is trained to recognize symptoms of health-related issues and it will give the suggestion for that problem and it will recommend medications for us. This AI chatbot is very efficient and beneficial for the economically disadvantaged areas. By asking routine queries to chatbot it improves healthcare accessibility, reduces time, and also empowers the healthcare information. Early results will simulate the positive response for the humans.},
        keywords = {Healthcare Chatbot, Natural Language Processing (NLP), Machine Learning (ML), Medical Assistance, Symptom Analysis, Conversational AI, Healthcare System Integration, Personalized Healthcare, AI-Powered Chatbot, Medical Information Retrieval.},
        month = {December},
        }