{"title":"Well Being Assistance Chat Application","authors":"Gaurav Dhavala, Sunil K. Sheoran, Atharva Arya, Mrudul Vajpayee, Vipul Jain, Divyajyoti Shrivastava","doi":"10.47392/irjash.2023.s066","DOIUrl":null,"url":null,"abstract":"Nowadays chatbots are widely used by almost every ecommerce, commercial and public welfare website to provide an intellectually rapid solution to cus-tomers. It provides extensive range of solutions from customer service to sug-gesting sales options, providing better service and customer satisfaction. Ever since the introduction of first Chabot, technological developments in the field of Artificial Intelligence has lead to tremendous advancements in designing chatbots that can efficiently mimic human conversations. This paper presents implementation of a chatbot for providing wellbeing assistance to the users. Wellbeing assistance chatbot not only offers effortless assistance to frequent enquiries of the users but additionally indicates the gravity of medical situation to the user. It can converse with people about their health condition and prescribe medications for common sickness. It can be deployed in hospitals for efficiently reducing overcrowding of the patients. Accuracy of the working model can be further increased by creating and using real time demographic data to train the model even after deployment. The proposed wellbeing assistance Chabot is based on Natural language","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Research Journal on Advanced Science Hub","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47392/irjash.2023.s066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays chatbots are widely used by almost every ecommerce, commercial and public welfare website to provide an intellectually rapid solution to cus-tomers. It provides extensive range of solutions from customer service to sug-gesting sales options, providing better service and customer satisfaction. Ever since the introduction of first Chabot, technological developments in the field of Artificial Intelligence has lead to tremendous advancements in designing chatbots that can efficiently mimic human conversations. This paper presents implementation of a chatbot for providing wellbeing assistance to the users. Wellbeing assistance chatbot not only offers effortless assistance to frequent enquiries of the users but additionally indicates the gravity of medical situation to the user. It can converse with people about their health condition and prescribe medications for common sickness. It can be deployed in hospitals for efficiently reducing overcrowding of the patients. Accuracy of the working model can be further increased by creating and using real time demographic data to train the model even after deployment. The proposed wellbeing assistance Chabot is based on Natural language