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Intelligent assisted living in pregnancy

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAlam, Md. Golam Rabiul
dc.contributor.authorZaman, S. M. Tanveer
dc.contributor.authorTasneem, Rafia
dc.contributor.authorShakerin, Tasmia
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2022-06-08T05:47:21Z
dc.date.available2022-06-08T05:47:21Z
dc.date.copyright2022
dc.date.issued2022-01
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 47-49).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.en_US
dc.description.abstractPregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, and that the rate of unfortunate miscarriages and stunting are still seen to be rising in this era. The huge advancement of technology, however, has stood up as a shield to protect and prevent these misfortunes from taking place, at a very early stage, by taking some of its useful measures. Artificial Intelligence is playing a vital role in this case and is able to serve aid in this regard. With the help of these techniques, we have decided and attempted to come up with a proposal of a system that is smart enough to assist like a doctor. Taking account of all the minor and major symptoms and difficulties that a woman faces during her pregnancy period, our system will provide an effective outcome based on the information provided by that mother and will encourage the person to take necessary actions. It is often seen that the health issues that a woman faces during her pregnancy period is considered lightly since a visit to the doctor can prove costly. Considering these issues, our proposed application will work its best to instantly impart the solutions for all the common difficulties that a mother may go through during this tough time. This smart proposed application, therefore, aims to conduct operations based on diagnosing the complications the pregnant women face with the data of the symptoms they are showing while also predicting possible miscarriage or severe health complications.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityS. M. Tanveer Zaman
dc.description.statementofresponsibilityRafia Tasneem
dc.description.statementofresponsibilityTasmia Shakerin
dc.format.extent49 pages
dc.identifier.otherID 18101539
dc.identifier.otherID 18101288
dc.identifier.otherID 18101663
dc.identifier.urihttp://hdl.handle.net/10361/16945
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.subjectData miningen_US
dc.subjectPregnancyen_US
dc.subjectMiscarriageen_US
dc.subjectComplicationsen_US
dc.subjectPredictionen_US
dc.subjectDecision treeen_US
dc.subjectLinear regression analysisen_US
dc.subjectChatboten_US
dc.subject.lcshMachine learning
dc.subject.lcshArtificial intelligence
dc.titleIntelligent assisted living in pregnancyen_US
dc.typeThesisen_US

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