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Ajay Kumar Prasad,
Sumit Kumar,
Abhishek Solanki,
Saniya Patil,
Prajakta Jadhav,
- U. G. Student, Department of Computer Engineering, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Mumbai, Maharashtra, India
- U. G. Student, Department of Computer Engineering, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Mumbai, Maharashtra, India
- U. G. Student, Department of Computer Engineering, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Mumbai, Maharashtra, India
- U. G. Student, Department of Computer Engineering, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Mumbai, Maharashtra, India
- Assistant Professor, Department of Computer Engineering, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Mumbai, Maharashtra, India
Abstract
Access to medicines during emergencies and the lack of prescription clarity remain significant challenges in modern healthcare systems. Most existing online pharmacy platforms primarily focus on home delivery services and do not provide real-time visibility of nearby pharmacy stock or intelligent prescription interpretation support. This limitation often delays treatment and creates confusion for patients. This paper presents a Smart Medicine Availability, Delivery, and AI Consultation System that integrates real-time pharmacy inventory tracking, geolocation-based vendor ranking, and artificial intelligence-driven prescription analysis within a unified digital platform. The system enables users to upload prescriptions or manually search for medicines. It verifies medicine availability across nearby registered vendors, ranks them based on proximity, and provides flexible options such as home delivery or self-pickup with navigation support. An AI-powered consultation module extracts prescription details using optical character recognition (OCR) and generates simplified explanations, dosage guidance, and precautionary information to improve patient understanding. Built using the MERN stack architecture, the system ensures scalability, secure authentication, and efficient data management. The proposed solution enhances medicine accessibility, reduces emergency response time, and improves patient awareness, thereby contributing to a more intelligent and patient-centric digital healthcare ecosystem.
Keywords: Smart Pharmacy System, Medicine Availability Tracking, AI Healthcare Assistance, Prescription Analysis, OCR-Based Consultation
[This article belongs to Research and Reviews: A Journal of Medicine ]
Ajay Kumar Prasad, Sumit Kumar, Abhishek Solanki, Saniya Patil, Prajakta Jadhav. SmartMed: An AI Powered Platform for Instant Medicine Access and Prescription Understanding. Research and Reviews: A Journal of Medicine. 2026; 16(02):-.
Ajay Kumar Prasad, Sumit Kumar, Abhishek Solanki, Saniya Patil, Prajakta Jadhav. SmartMed: An AI Powered Platform for Instant Medicine Access and Prescription Understanding. Research and Reviews: A Journal of Medicine. 2026; 16(02):-. Available from: https://journals.stmjournals.com/rrjom/article=2026/view=240204
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Research and Reviews: A Journal of Medicine
| Volume | 16 |
| Issue | 02 |
| Received | 25/03/2026 |
| Accepted | 06/04/2026 |
| Published | 17/04/2026 |
| Publication Time | 23 Days |
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