Smart Prescription Recognition And Symptom Analysis For Healthcare Solutions

Abstract

The digital solutions for handling prescriptions and health monitoring become more and more popular as the consequence of an increasing need for efficiency in the healthcare industry. The goal of the project, "Smart Prescription Recognition and Symptom Analysis for Healthcare Solutions," is to provide symptom-based health predictions and automated the recognition of prescriptions that are handwritten. The system's fundamental characteristics are as follows: first, it uses optical character recognition (OCR) technology to accurately interpret medication data by converting handwritten prescriptions into an apparent digital variant. Second, it lets users enter three symptoms, which are then reviewed by machine learning algorithms to identify possible illnesses and recommend applicable drugs. This system enhances patient safety and healthcare service efficiency by lowering human error in dealing with prescriptions and offering a symptom-based diagnostic tool. In besides providing prompts, accurate support to both patients and physicians, the project hopes to speed up treatments.