Paper Title

Voice Interactive Bilingual Smart Healthcare Chatbot Using NLP

Article Identifiers

Registration ID: IJNRD_185138

Published ID: IJNRD2212230

DOI: Click Here to Get

Authors

Ankit Kumar Singh , Neha Mehra

Keywords

Machine Learning, Health Care, Chatbot, NLP, SVM, Python

Abstract

Medical and healthcare-related material on the Internet has expanded dramatically in recent years. On the one hand, recent research found that the number of internet users searching for health-related information online is increasing. Artificial intelligence (AI) technology IS now extensively employed to assist with knowledge acquisition and decision-making in a range of sectors. Particularly in terms of health information systems, AI has a lot to offer. The healthcare sector has recently seen a growth in the importance of research and production related to symptom-based sickness prediction. Several scientists as well as organizations have demonstrated an interest in analyzing and developing innovative techniques for rapidly and correctly predicting diseases using modern computer technologies. We provide a model for evaluating the effectiveness of merging In this research, we integrate machine learning (ML) & natural language processing (NLP) techniques into an illness prediction system. Pattern recognition in medical data is one application of machine learning. As a result, it is capable of accurately forecasting sickness. We employed Machine Learning methods, Python Programming with Jupyter Interface, as well as a dataset obtained from Kaggle to accomplish Disease Prediction based on Symptoms. The prediction power and illness categorization patterns of the NLP and ML models differed. We examined feature correlation using a confusion matrix. The proposed modes are 99% accurate. Our novel ML models obtained great illness prediction efficiency via disease categorization. This research will be valuable in illness prediction and diagnosis.

How To Cite (APA)

Ankit Kumar Singh & Neha Mehra (December-2022). Voice Interactive Bilingual Smart Healthcare Chatbot Using NLP. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), c257-c268. https://ijnrd.org/papers/IJNRD2212230.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : c257-c268

Other Publication Details

Paper Reg. ID: IJNRD_185138

Published Paper Id: IJNRD2212230

Downloads: 000121978

Research Area: Computer Science & Technology 

Country: Varanasi, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212230.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212230

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

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

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.

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?

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