Alam, Md. Golam RabiulJoy, Moinul Alam2021-11-212021-11-2120212021-05ID 19166022http://hdl.handle.net/10361/15629Cataloged from PDF version of thesis.Includes bibliographical references (pages 51-52).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.Nowadays, it has become di cult to get in touch with a doctor for the current pandemic situation. Patients need to wait several days to get an appointment from the doctor and visiting the hospitals in recent times is also very risky. So, The main purpose of this application is to give a patient the basic treatment by given his symptoms so that he/she can receive medical services in home. This project focuses on two portions of disease detection. One portion is for common diseases and another one is for skin diseases. We have used di erent training algorithm for both portions of disease detection. An online API has been used along with machine learning library like tensor ow to produce the results. This mobile application not only shows the probability of the diseases, but also gives information about the cure or solutions.52 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.Disease predictionSupport vector machineSkin diseaseMobileNetCollaborative lteringAndroid applicationMachine learningApplication software--DevelopmentMobile computingThesis