Development of a Web Based Hospital Emergency Application
Keywords:
Emergency, Healthcare, Natural Language Processing, ChartbotAbstract
In this project, a web-based hospital emergency application was developed using the Python programming language and Django frameworks. The primary motivation for this project is to save lives in times of crucial emergency situations, while also providing a user-friendly and efficient solution for individuals in need of immediate medical assistance. The application offers several key features, including the ability to locate nearby hospitals based on the user's current location, request an ambulance, and access a chatbot for basic health issue prescriptions. To accomplish this, we leveraged Python and Django's powerful features to build a robust and user-friendly application. We integrated Google maps API location-based services to enable users to find the closest hospitals and request ambulances with ease. Furthermore, the inclusion of a chatbot feature enhances the application's utility, offering immediate medical advice for common health concerns. The results of this project demonstrate a successful integration of technology to improve emergency medical services, making it easier for users to access critical care in a timely manner. This paper showcases the practical implementation of these features and highlights the potential for enhancing healthcare delivery through web-based applications.