E-Medicare: An AI-Powered Multilingual Healthcare System with Smart Appointment Scheduling and Real-Time ConsultationKulkarni

Authors

  • Akanksha Kulkarni Department of Computer Engineering DY Patil Institute of Engineering, Management and Research Pune, India Author
  • Pradnya Jadhav Department of Computer Engineering DY Patil Institute of Engineering, Management and Research Pune, India Author
  • Poorva Taware Department of Computer Engineering DY Patil Institute of Engineering, Management and Research Pune, India Author
  • Rohan Bavale Department of Computer Engineering DY Patil Institute of Engineering, Management and Research Pune, India Author
  • Sakshi Malusare Department of Computer Engineering DY Patil Institute of Engineering, Management and Research Pune, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0567

Keywords:

Healthcare System, Artificial Intelligence, Multilingual Translation, Speech-to-Text, Appointment Scheduling, Web Application

Abstract

This paper presents Medicare, an AI-powered healthcare management system designed to improve accessibility and efficiency in medical consultations. The platform enables role-based access for doctors and patients, appointment booking with priority scheduling, real-time video consultation, and digital prescription generation. The system integrates speech-to-text and multilingual translation to allow patients to communicate symptoms in their native language, which are automatically converted into a standard format for doctors. Additionally, AI-based suggestions assist doctors in diagnosis and treatment planning[1]. The system ensures secure authentication and prevents appointment conflicts using optimized scheduling algorithms[2]. The proposed solution aims to bridge communication gaps, enhance remote healthcare services, and provide an efficient and user-friendly medical platform.

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Published

2026-06-26

How to Cite

E-Medicare: An AI-Powered Multilingual Healthcare System with Smart Appointment Scheduling and Real-Time ConsultationKulkarni . (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(06), 4357-4360. https://doi.org/10.47392/IRJAEH.2026.0567