A Chatbot System for Supporting Women and Families during Pregnancy


Authors : Dr. P. Bhaskar; Tanuja Kunchala; Srujana Peddi; Rizwana Syed; Pavani Namepalli

Volume/Issue : Volume 9 - 2024, Issue 4 - April

Google Scholar : https://tinyurl.com/4uyudmw3

Scribd : https://tinyurl.com/vus54dzy

DOI : https://doi.org/10.38124/ijisrt/IJISRT24APR697

Abstract : PregBot is an innovative system that harnesses the power of machine learning (ML) and natural language processing (NLP) to provide comprehensive support to women and families throughout the pregnancy journey. Recognizing the varying needs and challenges faced by expectant mothers, PregBot aims to revolutionize the maternal healthcare experience by offering personalized guidance, real-time query resolution, and a virtual community for support and connection. The system leverages ML algorithms to analyze user data and tailor responses, while NLP techniques enable natural language interactions, allowing users to communicate with PregBot in a conversational manner. By continuously learning from user interactions, PregBot adapts and evolves, ensuring the delivery of timely and relevant information based on the user's unique circumstances and stage of pregnancy. With its innovative approach to maternal healthcare, PregBot represents a significant step towards empowering women, promoting positive pregnancy experiences, and contributing to the overall well-being of expectant mothers and their families.

Keywords : Pregnancy, Machine Learning, Natural Language Processing, Maternal Healthcare, Virtual Assistant.

PregBot is an innovative system that harnesses the power of machine learning (ML) and natural language processing (NLP) to provide comprehensive support to women and families throughout the pregnancy journey. Recognizing the varying needs and challenges faced by expectant mothers, PregBot aims to revolutionize the maternal healthcare experience by offering personalized guidance, real-time query resolution, and a virtual community for support and connection. The system leverages ML algorithms to analyze user data and tailor responses, while NLP techniques enable natural language interactions, allowing users to communicate with PregBot in a conversational manner. By continuously learning from user interactions, PregBot adapts and evolves, ensuring the delivery of timely and relevant information based on the user's unique circumstances and stage of pregnancy. With its innovative approach to maternal healthcare, PregBot represents a significant step towards empowering women, promoting positive pregnancy experiences, and contributing to the overall well-being of expectant mothers and their families.

Keywords : Pregnancy, Machine Learning, Natural Language Processing, Maternal Healthcare, Virtual Assistant.

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