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@article{158932,
        author = {Ananya Chowdary Bheemaneni and Sai Pranav Guntha and Sumanth Chilumula and Najeema Afrin},
        title = {Chatbot for Pregnant Women},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {534-539},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158932},
        abstract = {With a significant paradigm change affecting diagnostic procedures, medication research, health analytics, interventions, and much more, artificial intelligence is revolutionising healthcare. In this work, we concentrate on the use of AI-based chatbot systems, mostly based on machine learning techniques and Natural Language Processing, to comprehend and respond to patient and family demands. In specifically, we provide an application scenario for a chatbot that supports expectant mothers and families with young children by offering assistance and guidance when appropriate.Medical services are essential to human survival, despite the fact that they typically have minimal funding.Modern technology is used to improve service capability and save operating costs.Medical services can use auto-response systems, which are common in the world of online commerce.},
        keywords = {Natural language processing, Machine learning, andchatbot.},
        month = {},
        }