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dc.contributor.advisorTairin, Suraiya
dc.contributor.advisorIslam, Md. Saiful
dc.contributor.authorAhmed, Nakib
dc.contributor.authorRashid, Safoan Bin
dc.contributor.authorMoury, Sharmin Sultana
dc.contributor.authorNahar, Ankur
dc.date.accessioned2018-05-27T03:56:31Z
dc.date.available2018-05-27T03:56:31Z
dc.date.copyright2018
dc.date.issued2018-03
dc.identifier.otherID 13201019
dc.identifier.otherID 13201020
dc.identifier.otherID 13201017
dc.identifier.otherID 14201049
dc.identifier.urihttp://hdl.handle.net/10361/10201
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 31-33).
dc.description.abstractThe need for blood is constant in the medical field in order to save lives, as a number of medical procedures, including most surgical interventions require blood transfusion, but despite all medical and technological advancements, the only viable method available for acquiring blood is through blood donations. Blood donation is a complex time consuming process to find donors who have blood compatibility with patients. As procuring blood posthaste is crucial in life and death situations, our goal is to present an android mobile application that will allow recipients to bridge instant communication with the most apropriate donors forthwith. Our application will work to provide information regarding a requested blood type, and number of available donors around the location. Our aim is to provide an application that will benefit patients in critical situations where there is urgent requirement of a specific blood type. Our platform will connect blood donors and recipients in an effective manner. We intend to provide suggestions regarding the most suitable donors based on blood type, and location, through the implementation of Haversine algorithm. The main objective of this thesis was to create a search platform aimed to locate blood donors, and bring donors and recipient in dire need of blood, to a common platform, so that it could later be used as a medical assistance software.en_US
dc.description.statementofresponsibilityNakib Ahmed
dc.description.statementofresponsibilitySafoan-Bin-Rashid
dc.description.statementofresponsibilitySharmin Sultana Moury
dc.description.statementofresponsibilityAnkur Nahar
dc.format.extent43 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectBlood donationen_US
dc.subjectBlood posthasteen_US
dc.subjectAndroid platformen_US
dc.subjectDonors predictionen_US
dc.titleAndroid platform to find blood donors and predicting most suitable donorsen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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