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@article{205370,
        author = {Aniruddh shelke and Anurag Gondal and Ruday kackure and Yashwant Kharat and Tushar Ahire},
        title = {Real time Healthcare Chatbots for Rural Areas and AI-Based Early Symptom Detection Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {6231-6234},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205370},
        abstract = {Healthcare chatbots have emerged as an effective solution for improving access to medical guidance. This paper explores two key applications: healthcare chatbots designed for and remote areas, and AI-based chatbots for early symptom detection. The first focuses on accessibility and bridging healthcare gaps, while the second emphasizes intelligent diagnosis artificial intelligence. Both approaches demonstrate the potential of chatbot systems in healthcare delivery, reducing delays in treatment, and improving overall health awareness. Rural populations often face challenges such as limited medical infrastructure and delayed diagnosis, which can lead to severe health outcomes. Healthcare chatbots provide a cost-effective and accessible solution by offering basic medical guidance through digital platforms. Additionally, based symptom detection systems enhance the capability of chatbots by analyzing user input predicting possible health conditions at an early stage.},
        keywords = {},
        month = {June},
        }