Sevri M. (Yürütücü), Velioğlu M. B., Memioğlu A. K.
Yükseköğretim Kurumları Destekli Proje, 2025 - 2025
The Pharmavent Project encompasses the development of an innovative mobile application designed to accelerate digital transformation in the healthcare sector. This project aims to facilitate health management by providing users with instant access to medical and pharmaceutical information, tracking medication stock levels, locating on-duty pharmacies, and verifying drug interactions. Additionally, it includes personal health tracking features such as prescription reminders to help users maintain a consistent medication regimen. Enhanced by artificial intelligence and deep learning techniques, Pharmavent will analyze users' prescription history and health data to deliver personalized medication recommendations. Moreover, deep learning algorithms will be utilized to predict potential drug interactions and inform users about possible side effects. An intelligent assistant powered by Natural Language Processing (NLP) will enable users to effortlessly access drug-related information and usage instructions.
The methodology of Pharmavent involves multiple technical components, including the development of a database schema for managing pharmacies, medications, and stock data, integration with map services, implementation of a push notification system, and mobile application development using Kotlin for the Android platform. Furthermore, selected medications will be identified via camera-equipped robotic arms and dispensed accurately, ensuring fully automated medication management through the mobile application.By making healthcare-related information more accessible, Pharmavent aims to empower users to make informed health decisions while accelerating digitalization in the healthcare industry through the integration of AI and deep learning technologies.