Speech-Enabled University Dispensary Management System: Innovations in Automation and Accessibility for Individuals with Disabilities

Abstract

Abstract – This research paper presents the development and implementation of a University Dispensary Management System (UDMS) designed for total automation with a special feature of speech recognition
tailored for individuals with disabilities. The system aims to streamline the management of university dispensaries by automating various processes including patient registration, appointment scheduling, prescription management, and inventory tracking. Additionally, the incorporation of speech recognition technology facilitates accessibility for individuals with disabilities, allowing them to interact with the system using voice commands.
The paper provides an overview of the system architecture, detailing the front-end and back-end components, as well as the integration of speech recognition functionality. Evaluation results demonstrate the effectiveness of
the UDMS in improving workflow efficiency and accessibility for all users, including those with disabilities. Overall, this research contributes to the advancement of technology in healthcare management systems, emphasizing
the importance of inclusivity and automation in enhancing patient care and overall efficiency.