Recognition of handwritten the medical prescription using machine.pptx

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1. Recognition of handwritten the medical prescription using machine learning

2. B A C K G R O U N D Problem Furthermore, prior to the COVID-19 pandemic, there was no focus on information retrieval in offline doctor's prescription images. In order to get helpful advice, patients have been exchanging these prescription images with offline medical consultants on a large scale over the past two years. GOAL The study's goal was to design, develop, digitize and enhance a system that focused on recognizing doctor's handwritten medical prescriptions using a machine learning, primarily for medical purposes.

3. O B J E C T I V E 1. The researchers aim to design a system that can detect handwritten text on prescriptions with accuracy and dependability using machine learning; 2. The researchers will develop a system that can efficiently and quickly process prescriptions can improve patient care by streamlining the medication dispensing process and saving pharmacists time and resources; 3. The researchers aim to digitize the identifiable handwritten text so that patients and pharmacists can more easily access and comprehend the information using machine learning; 4. The researchers aim to enhance handwritten text recognition from image recognition accuracy.

4. L I T E R A T U R E M A P Task Name Duration Days February 2025 March 2025 April 2025 May 2025 June 2025 July 2025 August 2025 September 2025 October 2025 Data Collection & Processing 60                         Model Training & Evaluation 91                             System Development & Testing 120               Deployment & Stakeholder Training 50                   Maintenance 12                   Documentation 10