Paper Title
MAMA BOT: A System based on ML, NLP and IOT for supporting women and family during pregnancy
Article Identifiers
Authors
Yasaswini V , Shreyas R , Shetty Aryan Amarnath , Pallavi B N , Mrs. Vinutha M S
Keywords
Pregnancy, Parental care, Vitals monitoring, Symptoms, Exercise, chat bot
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.
Downloads
How To Cite (APA)
Yasaswini V, Shreyas R, Shetty Aryan Amarnath, Pallavi B N, & Mrs. Vinutha M S (June-2023). MAMA BOT: A System based on ML, NLP and IOT for supporting women and family during pregnancy. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), e420-e428. https://ijnrd.org/papers/IJNRD2306454.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : e420-e428
Other Publication Details
Paper Reg. ID: IJNRD_199974
Published Paper Id: IJNRD2306454
Downloads: 000122002
Research Area: Engineering
Country: Bengaluru-85, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306454.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306454
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details