Blood Donation System using Geo-Tracking and Machine Learning: A Comprehensive Survey

Abstract

This survey addresses blood donation by making use of advanced technologies to make the process easy and efficient. It emphasizes the importance of tailored systems and highlights successful studies implementing innovative solutions. Incorporating various technologies like Geographical Tracking and Machine Learning, the project explores various prediction algorithms and libraries used to build an efficient, innovative, and easy-to-use solution. It recommends using APIs, Java, and Python libraries for enhancing system functionality. The survey aims to help select the appropriate tools and technologies for building an app for a blood donation management system, that would be easy to use, scalable, and utilize upcoming modern technology to its fullest. Key Words: API, Java, Python, Geo-Tracking, Machine Learning, Deep Learning, Maps