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QR-Based Emergency Alert and Medical Profile System for Senior Citizens

Vibhor Kr. Vishnoi, Mohammad Kaif, Madhur Panghal, Ibrahim Saud, Mohammad Affan
Department of Computer Science and Engineering, Moradabad Institute of Technology
kaif8528576249@gmail.com madhurpanghal01@gmail.com sahibakhter0786@gmail.com
mohdaffan0017@gmail.com

Abstract
This research paper presents a comprehensive analysis and implementation of a QR-based emergency response and medical data management system, developed under the project titled Elderly Care. The system is designed to address the growing need for accessible, reliable, and real-time emergency solutions for senior citizens, enabling faster medical assistance and enhanced safety in critical situations. By combining QR code technology, geolocation services, and cloud-connected databases, the system ensures quick retrieval of health profiles and real-time alert mechanisms during emergencies. Additionally, it integrates an AI-driven recommendation engine that generates personalized health advice, such as dietary suggestions, wellness tips, and condition-appropriate physical activities, based on the user’s medical data.The proposed solution allows elderly users to register, submit medical data, and generate a unique QR code linked to their medical profile. This QR code can be scanned by bystanders, emergency responders, or caretakers, enabling instant acces to crucial medical information and geolocation data. Integrated with services like Twilio for SMS notifications and browser- based geolocation APIs, the system alerts emergency contacts along with live coordinates during high-risk scenarios. The AI recommendation engine further analyzes factors such as age, chronic conditions, and medication records to provide tailored advice, which appears directly on the user’s dashboard. This helps users maintain better health routines and supports caregivers in managing health-related tasks effectively. The findings from this study highlight the impact of accessible tech solutions in safeguarding vulnerable populations. By combining real-time scanning, communication tools, AI-driven health recommendations, and data visualization, ElderlyCare represents a scalable, cost-effective step forward in responsive healthcare for senior citizens.