Nurse Finder App

Abstract

The proposed system “Nurse Finder App” is a Django-based web application project aims to connect the patients and qualified nurses in their area so that both can save their time and money. Besides its main objective is to reduce the sufferings of patient. Using this system, patient can easily find out the qualified nurse in short time, avoid long-time journey in traffic jam, reduce the healthcare cost and save time. Our system is a blessing for them especially who are incapable to move. It helps nurses to find their job in the nearest distance. Standing on a foundation of HTML, CSS, JavaScript, Bootstrap for mobile-friendly UI, Python Django for backend, PostgreSQL for database and Leaflet for map. The platform provides the patients registration, login approval, view options like see the upcoming appointments, recent appointments, messages from nurse, the detail information of nurse, quick action options like find nurse by searching name, location, specialty or on the attached google map according to the nearest area around 50 km, message in real time, update profile, write review and finally the most important task book nurse. To join the platform, nurses have to be verified by admin panel after registration. After verification, it provides the nurses login approval, view options like see the upcoming appointments, pending appointments, messages from patient, the detail information of patient, total review, average review in dashboard, quick action options like edit profile, update location on google map, manage their availability time, message in real time, accept or decline appointment. For administrators, it offers a set of powerful instruments for working with nurse, patient and promotions, as well as statistical specifications for the decision-making process. The project also focuses on factorability with features such as load balancing and efficient database queries for large traffic and volume data of nurses. Though, there has been a provision of security with compliance to standards for data protection. Some of the activities involved were designed to come up with the nurses included testing and documenting to ascertain whether the nurse was functional, reliable, and available for patient. The issue like performance, responsiveness, and the usability design wassolved through the use of incremental problem-solving and teamwork. Through the use of these technologies and adopting the latest trends in designing, the platform seeks to help businesses grow while at the same time making searching for nurses easy and enjoyable for patients while equipping businesses with effective tools in their operation.