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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | MAMA BOT: A System based on ML, NLP and IOT for supporting women and family during pregnancy |
| Authors Name: | Yasaswini V , Shreyas R , Shetty Aryan Amarnath , Pallavi B N , Mrs. Vinutha M S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_199974
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| Published Paper Id: | IJNRD2306454 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | The Pregnancy Assistant Chatbot utilizes natural language processing (NLP) techniques and IOT to engage in interactive conversations with pregnant women and monitor their vitals. It aims to provide accurate and timely information about various aspects of pregnancy, such as prenatal care, nutrition, common discomforts, vital monitoring and preparation for childbirth. The chatbot employs a question-and-answer format to address specific queries and concerns raised by users, providing evidence-based information and guidance. Additionally, the Pregnancy Assistant Chat Bot provides features such as medication suggestions, preventive measures, information on nearby hospitals and pharmacies. Furthermore, it offers engaging content like stories and jokes to promote mood relaxation and emotional well-being during pregnancy. The chat bot acts as a virtual companion throughout the pregnancy journey, offering real-time assistance and information on various aspects of pregnancy, such as prenatal care, nutrition, exercise, common concerns, and emotional well-being. ML algorithms are employed to analyze user input and generate accurate and contextually relevant responses based on a vast database of medical knowledge and expert advice.NLP techniques are applied to enable the chat bot to understand and interpret natural language queries, ensuring a user-friendly and conversational interaction. The chat bot can provide personalized recommendations and suggestions by adapting to individual preferences, gestational stage, and specific medical conditions.To enhance the functionality and connectivity, the chat bot integrates with IoT devices and sensors that gather data on heart beat and temperature. This real-time data is processed and analyzed using ML algorithms, providing valuable insights and enabling proactive monitoring of the pregnancy progress. The chat bot can alert users to potential health risks or provide reassurance based on the collected data. The Pregnancy Assistant Chat Bot offers convenience and accessibility, enabling expectant mothers to seek guidance and support at any time and from anywhere using their preferred devices, including smartphones, tablets, or smart speakers. This technology has the potential to complement existing healthcare services and bridge the gap between prenatal visits, empowering women to make informed decisions and actively participate in their own care. |
| Keywords: | Pregnancy, Parental care, Vitals monitoring, Symptoms, Exercise, chat bot |
| Cite Article: | "MAMA BOT: A System based on ML, NLP and IOT for supporting women and family during pregnancy", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.e420-e428, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306454.pdf |
| Downloads: | 000118753 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2306454 Registration ID: 199974 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: e420-e428 Country: Bengaluru-85, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306454 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306454 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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