Paper Title

MAMA BOT: A System based on ML, NLP and IOT for supporting women and family during pregnancy

Article Identifiers

Registration ID: IJNRD_199974

Published ID: IJNRD2306454

DOI: Click Here to Get

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.

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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

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.

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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.

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Frequency: Monthly (12 issue Annually).

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