Proceedings ArticleDOI
An Interactive AI-Powered Web Healthcare System
Bishab Pokharel,Kc Ganesh,Bigyan Timilsina,Yunish Pokharel,Mahesh Makam,Veerpal Kaur +5 more
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TLDR
In this paper , a package of healthcare services powered by Artificial Intelligence via a chatbot system, where a user can entertain the services either by an interactive Graphical User Interface or a conversational chat bot system.Abstract:
The Covid-19 pandemic has brought many changes in the healthcare industry lately. As things are going normal with time, many health projects designed and used during emergencies are left unexploited. To make the perpetual use of those technologies, the current need should be taken into consideration along with necessary ideas and frameworks to evolve the existing system into. To demonstrate the same, in this paper, we have presented a package of healthcare services powered by Artificial Intelligence via a chatbot system, where a user can entertain the services either by an interactive Graphical User Interface or a conversational chatbot system. This proposed system showcases how a similar Covid-19 system can be developed into a sophisticated healthcare service. This paper emphasises adding Artificial Intelligence to any conventional software via chatbot services which would broaden the services it provides even further. In order to find out the probable best technology to integrate AI with, about 50 papers have been analysed and out of which 27 relevant papers have been included in the literature review. In future, we intend to add medical support and other intelligence-based services to our system in order to meet user requirements and essential features in the field of healthcare.read more
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Proceedings ArticleDOI
A Brief Review of Machine Learning Methods used in Mental Health Research
Veerpal Kaur,Kamali Gupta +1 more
TL;DR: In this paper , the authors present an overview of the machine learning technologies used in health care majorly concerned to mental health and depression along with their pitfalls and future directions, focusing mainly on analyzing how innovation and health could be inter-related.
Proceedings ArticleDOI
Improved Facial Biometric Authentication Using MobileNetV2
TL;DR: In this paper , a deep learning method MobileNetV2 is proposed, which uses transfer learning and is a lighter convolutional network that is tested over the NUAA Dataset.
References
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Proceedings ArticleDOI
A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks
TL;DR: An in-depth survey of recent literature, examining over 70 publications related to chatbots published in the last 5 years, found that Deep Neural Networks is a powerful generative-based model to solve the conversational response generation problems.
Proceedings ArticleDOI
Conversation to Automation in Banking Through Chatbot Using Artificial Machine Intelligence Language
TL;DR: The paper explores the existing usability of chatbot to assess whether it can fulfill customers ever-changing needs and sheds light on the potential of intelligent systems.
Proceedings ArticleDOI
AI and Web-Based Human-Like Interactive University Chatbot (UNIBOT)
TL;DR: The project is about interaction between users and chatbot which can be accessed from anywhere anytime and provides various information related to university or college and also students-related information.
Journal Article
Chatbot for healthcare system using Artificial Intelligence
B R Kavitha,Chethana R. Murthy +1 more
TL;DR: Keyword, ranking and sentence similarity calculation is done using n-gram, TF-IDF and cosine similarity to identify keywords from the sentences and make a decision for the query and answers the question.
Proceedings ArticleDOI
Contextual Chatbot for Healthcare Purposes (using Deep Learning)
TL;DR: This chatbot will be integrating the concepts of Natural Language Processing with Deep Learning for getting better results and will be discussing about the working of the model but also the applications and relevant work conducted in this domain.