Abstract
This paper 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. The paper aims to demonstrate and explain in detail the various tools and techniques used to attempt to bring this idea to fruition, and the benefits that the usage of this technology has brought to the table not only for us as developers, but for the potential users of this app as well. Key Words: API, Java, Python, Geo-Tracking, Machine Learning, Deep Learning, Maps
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
