Rahman, Md. KhalilurNahian, AhmedYusuf, Md. Jawad BinMahmud, Sajid Hasan2025-09-252025-09-2520202020-10ID 14301120ID 18301296ID 19241032http://hdl.handle.net/10361/26792Cataloged from PDF version of thesis.Includes bibliographical references (page 43-44).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.This paper analyzes how the patient can easily figure out the appropriate doctor based on the physical problem or the health issues which they could not figure out in previous because of lack ofknowledge related to the disease. The methods we are using is machine learning which will figure out the machine readable details of the information that are provided by the patient. The patient will justify their problems by answering a list of questionnaire that helps them to figure out their problem details. The questionnaire will narrow down the problem and justify the appropriate disease or health issues that the patient is facing. Our result will show the details of the problem that the patient is facing and suggest them their preferred doctors. The program will also suggest the tests related to the issue. It will also figure out the preference of the patient.From a safety perspective this study will emphasizes on the digital solution to the patient whom took hassle to figure out their preferred doctors.44 pagesenPatern predictingMachine learningThesis