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Prerona- mental health Bengali chatbot for digital counselling

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorUddin, Jia
dc.contributor.advisorEsfar-E- Alam, A.M.
dc.contributor.authorHussna, Asma Ul
dc.contributor.authorLaz, Azmiri Newaz Khan
dc.contributor.authorSikder, Md Shammyo
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-09-29T07:17:08Z
dc.date.available2025-09-29T07:17:08Z
dc.date.copyright2020
dc.date.issued2020-10
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 30-31).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.en_US
dc.description.abstract”Human”,”Machine”,”Interaction” this word refers to the modern era of technology where researchers give emphasis on the interaction between computer machines and humans. We humans cannot confine ourselves depending on only human-based health care systems. The current time of digitalization brings with it progress and additional opportunities for medical care in general and clinical psychology in particular. In this paper, we have presented a model named PRERONA: a psychological Bengali chatbot for depressed persons. PRERONA is designed to help depression struggling especially for Bengali users who are lack attention or do not have anyone to talk about their problem. The main goal of this chatbot ”Prerona” is to give instant answers to questions and queries as well as to give proper mental health to Bengalis in times of depression. It is able to carry out real-time chats in initially three languages, Bangla, English, and Korean. Natural language processing (NLP) is used here to successfully implement these languages. First, it matches the input with the query that exists in the database, then it identifies each matching sentence with the input, and finally, it selects the one with the highest suite in response to the input. To test the proposed chatbot, we have interviewed 300 persons to come up with the datasets. Existing chatbots such as Woebot, Wysa, Moodkit, etc. do not allow users to express them. However, PRERONA allows the user space to talk about whatever they want and it is intelligent enough to ask questions as well as answer questions.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityAsma Ul Hussna
dc.description.statementofresponsibilityAzmiri Newaz Khan Laz
dc.description.statementofresponsibilityMd Shammyo Sikder
dc.format.extent43 pages
dc.identifier.otherID 15201045
dc.identifier.otherID 19341030
dc.identifier.otherID 16301131
dc.identifier.urihttp://hdl.handle.net/10361/26798
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.subjectNatural language processingen_US
dc.subjectDigital healthcareen_US
dc.subjectMental healthcareen_US
dc.subjectPsychological chatboten_US
dc.subjectHuman-machine interactionen_US
dc.subjectDigital counselling
dc.subjectPreronaen_US
dc.subject.lcshDepressed persons--Counseling of.
dc.subject.lcshNatural language processing (Computer science).
dc.subject.lcshHuman-machine systems.
dc.subject.lcshChatbots--Design and construction.
dc.subject.lcshMental health services--Technological innovations.
dc.titlePrerona- mental health Bengali chatbot for digital counsellingen_US
dc.typeThesisen_US

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