Rhaman, Md.KhalilurDas, AnindyaNayeem, ZannatunFaysal, Abu SalehHimu, Fardoush Hassan2021-05-292021-05-2920202020-04ID 16101032ID 16301021ID 17301190ID 17301212http://dspace.bracu.ac.bd/xmlui/handle/10361/14439Cataloged from PDF version of thesis.Includes bibliographical references (pages 55-57).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.Health issues often stay hidden due to not having regular health checkups. Sometimes these issues build-up to a signi cant health hazard which stays hidden until it's often too late. So we came up with a series of ideas that can deal with the abovestated problems and to some extent solve them. Our proposed device can actively check body vitals, send data through the cloud to designated doctors, and give patients noti cation of hazard from doctors. To carry out the above-stated solutions, we are designing an IoT device that interfaces multiple sensors to a microcomputer and sends the collected data to a cloud server for further manipulation which will be done by Machine Learning. After analysis, if the doctor feels there is any risk of health hazard to the patient, he/she can send in the noti cation of hazard through our proposed device.57 pagesenBrac 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.Health IssueIoTCloud serverMachine LearningMachine learningCloud computingThesis