Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1588
Title: Sinhala Conversational Interface for Appointment Management and Medical Advice
Authors: Rajapakshe, D. D. S.
Kudawithana, K. N. B.
Uswatte, U. L. N. P.
Nishshanka, N. A. B. D.
Piyawardana, A. V. S.
Pulasinghe, K. N.
Keywords: RASA
NLU
NLP
AI
Ontology
QR code
SPARQL
Protégé
Microservice
REST API
RDFS
Firebase
Flutter
Python & OWL
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Series/Report no.: Vol.1;
Abstract: This paper proposes an intelligent conversational user interface to assist Sinhala speaking users to make appointments with doctors and to obtain medical advices. This Sinhala Conversational Interface for Appointment Management and Medical Advice (SCI-AMMA) consists of Speech Recognition unit, Query Processing unit, Dialog Management unit, Voice Synthesizer unit, and User Information Management unit to handle user requests and maintain a meaningful dialogue. The SCI-AMMA gets the users' speech utterances and recognize the language content of it for further processing. Language content is further processed using query processing unit to identify users' intent. To fulfil the users' intent, a reply is generated from Dialogue Management Unit. This reply/answer will be delivered to the user by means of a voice synthesizer. The proposed system is successfully implemented using state of the art technology stack including Flutter, Python, Protégé and Firebase. Performance of the system is demonstrated using several sample scenarios/dialogues.
URI: http://rda.sliit.lk/handle/123456789/1588
ISBN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Department of Computer Systems Engineering-Scopes
Department of Information Technology-Scopes

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