Publication:
AI Based Depression and Suicide Prevention System

dc.contributor.authorKulasinghe, S.A.S.A.
dc.contributor.authorJayasinghe, A.
dc.contributor.authorRathnayaka, R.M.A.
dc.contributor.authorKarunarathne, P.B.M.M.D.
dc.contributor.authorSilva, P.D.S.
dc.contributor.authorAnuradha Jayakodi, J.A.D.C.
dc.date.accessioned2022-03-14T07:25:28Z
dc.date.available2022-03-14T07:25:28Z
dc.date.issued2019-12-05
dc.descriptionDate of Conference: 5-7 Dec. 2019 Date Added to IEEE Xplore: 29 May 2020en_US
dc.description.abstractSuicide is a major issue in the world. The number one reason for suicide is untreated depression. That is why it was decided to focus on depression symptoms more and identify them in order to prevent suicidal attempts. To cure depression, the best way is to talk about their feelings with someone they trusted and release their pain inside of them. Because of that this system has a Chat-bot for the user to interact with. Chat-bot will gather information about the users feelings through text and voice analysis. Also by analyzing their Facebook statuses and recent web history, the application gather more information about their mental state so that the system take more accurate conclusions. After analyzing all the information from each component the back brain will decide on how the chat-bot should act on the user. At the end, the product was able to give more than 75% accurate results for each component.en_US
dc.identifier.doi10.1109/ICAC49085.2019.9103411en_US
dc.identifier.isbn978-1-7281-4170-1/19
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/1605
dc.language.isoenen_US
dc.publisher2019 1st International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.relation.ispartofseriesVol.1;
dc.subjectArtificial Intelligenceen_US
dc.subjectDepressionen_US
dc.subjectSuicideen_US
dc.subjectNLPen_US
dc.subjectMobile Applicationen_US
dc.subjectChat Boten_US
dc.subjectVoice Analysisen_US
dc.subjectSentimental Analysisen_US
dc.titleAI Based Depression and Suicide Prevention Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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