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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53915

Vaxmate : AI Driven Child Vaccination Reminder

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53915

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53915

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ARK

Apurva Rajendra Khalekar

PP

Prof. P.V.Kulkarni

GSP

Gayatri Sanjay Pawar

RPT

Radhika Purushottam Tayade

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Abstract

Domain: Software Development Subdomain: Smart Healthcare System Problem Statement: Parents often miss or delay child vaccinations due to lack of reminders, awareness, and proper record management. Existing systems are mostly manual and lack intelligent features. There is a need for an AI-powered vaccination management system that uses machine learning and chatbot support to provide personalized reminders, predictive alerts, and real-time vaccine information. Solution: The proposed system is an AI-based child vaccination management app that integrates a smart chatbot and machine learning algorithms to automate vaccination tracking. It provides personalized reminders, predicts missed vaccinations, and offers real-time vaccine guidance through an interactive chatbot and admin dashboard.

KEYWORDS

Child Vaccination Artificial Intelligence (AI) Machine Learning (ML) Chatbot Predictive Analytics Health Management System Smart Reminder Vaccination Tracking Mobile Application Healthcare Automation.

Cite This Article

Apurva Rajendra Khalekar, Prof. P.V.Kulkarni, Gayatri Sanjay Pawar, Radhika Purushottam Tayade, "Vaxmate : AI Driven Child Vaccination Reminder," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53915

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Publication Date

11/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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