Covisstance chatbot

dc.contributor.authorShaik, Farah
dc.contributor.authorKhalid, Arooba
dc.contributor.authorIsmail, Heba
dc.date.accessioned2024-06-21T10:57:54Z
dc.date.available2024-06-21T10:57:54Z
dc.date.issued2021-08-25
dc.description.abstractIn this paper we propose an intelligent chatbot that helps tackle the critical COVID-19 situation in India, which is a detrimental issue affecting the population of the country. Patients wait in long queues outside hospitals to obtain critical resources such as beds but return back in vain due to unavailability. The Covisstance Chatbot that we propose helps users locate available beds and ventilators in all hospitals at the user's location, without the need for them to travel. The proposed virtual assistant is implemented integrating several serverless services from Microsoft Power Virtual Agent, Power Automate flows to define actions, Microsoft Lists as a test database and Microsoft's Language Understanding Artificial Intelligence service (LUIS) that performs language and semantic analysis of user's queries. Experimental results show that the proposed chatbot successfully responds to all users' queries related to hospital information about beds and oxygen cylinders availability. © 2021 Association for Computing Machinery. Keywords Azure, Chatbot, Cloud Storage, COVID-19, Medical Assistance
dc.identifier.citationShaik, F., Khalid Bashir, A., & Mahmoud Ismail, H. (2021, August). Covisstance chatbot. In The 7th annual international conference on Arab women in computing in conjunction with the 2nd forum of women in research (pp. 1-4).
dc.identifier.doihttps://doi.org/10.1145/3485557.3485574
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/5844
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery
dc.titleCovisstance chatbot
dc.typeConference Paper

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:

Collections