Medical Adherence and Reminder System Platform

Abstract : Medbot.AI is an innovative health-tech platform developed to enhance medication adherence and facilitate comprehensive health monitoring. The system addresses the limitations of conventional solutions by integrating real-time health parameter tracking, automated medication reminders, and AI-powered user interaction. The platform employs technologies such as React.js for frontend development, Node.js and Flask for backend microservices, Firebase for data storage, and Twilio for communication. Real-time health data is acquired through Fitbit integration, and personalized assistance is delivered via a Python chatbot powered by Google’s Gemini LLM. Medbot.AI provides a robust, scalable, and user-friendly solution, validated through rigorous testing and iterative development. This paper outlines the system's architecture, methodology, implementation, and results, and proposes future enhancements for broader healthcare integration. Keywords: Medication Adherence, Health Monitoring, Fitbit, Firebase, Twilio, React.js, Flask, Chatbot, Gemini AI, Health-Tech, Personalized Analytics

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-14
DOI
https://doi.org/10.55041/ijsrem47837
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Medical Adherence and Reminder System Platform

G. Vishnu Vardhan Reddy
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Mobile Health and mHealth Applications
article

Medical Adherence and Reminder System Platform

G. Vishnu Vardhan Reddy
article en

Abstract

Abstract : Medbot.AI is an innovative health-tech platform developed to enhance medication adherence and facilitate comprehensive health monitoring. The system addresses the limitations of conventional solutions by integrating real-time health parameter tracking, automated medication reminders, and AI-powered user interaction. The platform employs technologies such as React.js for frontend development, Node.js and Flask for backend microservices, Firebase for data storage, and Twilio for communication. Real-time health data is acquired through Fitbit integration, and personalized assistance is delivered via a Python chatbot powered by Google’s Gemini LLM. Medbot.AI provides a robust, scalable, and user-friendly solution, validated through rigorous testing and iterative development. This paper outlines the system's architecture, methodology, implementation, and results, and proposes future enhancements for broader healthcare integration. Keywords: Medication Adherence, Health Monitoring, Fitbit, Firebase, Twilio, React.js, Flask, Chatbot, Gemini AI, Health-Tech, Personalized Analytics

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 83%
Mobile Health and mHealth Applications
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Medical Adherence and Reminder System Platform — G. Vishnu Vardhan Reddy · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS