MedoPlus is a web-based medicine delivery and pharmacy management system developed to improve accessibility, efficiency, and transparency in pharmacy operations. The system provides a digital platform that connects customers, pharmacists, and delivery personnel, enabling users to search for medicines, upload prescriptions, place orders, and receive medicines at their doorstep without requiring physical pharmacy visits. Traditional pharmacy workflows depend heavily on manual processes including handwritten records, in-person prescription submission, and informal inventory tracking. These methods are time-consuming, error-prone, and difficult to scale. MedoPlus addresses these limitations by digitising the end-to-end workflow through a structured web application built on Node.js, Express.js, and MySQL. A key feature of the system is Optical Character Recognition (OCR)-based prescription text extraction. When a customer uploads a prescription image, the system uses the Tesseract OCR engine to extract readable text from the image. A pharmacist then reviews the extracted text on the dashboard and manually verifies the prescription before approving the order. This semi-automated approach reduces manual transcription effort while maintaining human oversight for safety and accuracy. The pharmacy module includes an inventory management system that tracks medicine stock levels, batch numbers, and expiry dates. The system implements the First Expiry First Out (FEFO) principle to ensure that medicines with the earliest expiry dates are dispensed first, minimising wastage. Order and delivery status tracking allow customers and administrators to monitor the progress of every order through clearly defined status stages. MedoPlus demonstrates how a practical, well- structured web application can meaningfully improve pharmacy service delivery without requiring complex or custom-built artificial intelligence infrastructure. The system is designed to be reliable, maintainable, and explainable, making it suitable for real-world deployment in small to mid-sized pharmacy operations.
K.V.Sharma et al. (Mon,) studied this question.