Android Based e-Voting Mobile App Using Google Firebase as BaaS

Bharti, Urmil; Bajaj, Deepali; Tulika,; Budhiraja, Payal; Juyal, Meghna; Baral, Sushmita

doi:10.1007/978-3-030-34515-0_24

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Studies [4,5] introduced mobile-based electronic voting systems, but lacked thorough discussions on reliability, vulnerabilities, privacy concerns, security measures, authentication mechanisms, transparency, and usability.…”

Section: Literature Reviewmentioning

confidence: 99%

DigitalNizam: Shaping the Future of Pakistani Elections through Secure Field-Programmable Gate Array-Based Voting Solutions

Khan,

Sohail,

Rai

et al. 2023

The 8th International Electrical Engineering Conference

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Section: Literature Reviewmentioning

confidence: 99%

DigitalNizam: Shaping the Future of Pakistani Elections through Secure Field-Programmable Gate Array-Based Voting Solutions

Khan,

Sohail,

Rai

et al. 2023

The 8th International Electrical Engineering Conference

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“…This stateless behavior makes every invocation independent of the previous runs. For our application, Firebase Cloud Functions and Google Cloud Platform as our backend infrastructure is provided [12]. The complete architecture of "Aapka Chikitsak" is shown in Figure 1.…”

Section: A the Architecture Of Conversational Botsmentioning

confidence: 99%

Medbot: Conversational Artificial Intelligence Powered Chatbot for Delivering Tele-Health after COVID-19

Bharti

Bajaj

Batra

et al. 2020

2020 5th International Conference on Communication and Electronics Systems (ICCES)

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149

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Telemedicine can be used by medical practitioners to connect with their patients during the recent Coronavirus outbreak, whilst attempting to reduce COVID-19 transmission among patients and clinicians. Amidst the pandemic, Telemedicine has the potential to help by permitting patients to receive supportive care without having to physically visit a hospital by using a conversational artificial intelligence-based application for their treatment. Thus, telehealth will rapidly and radically transform in-person care to remote consultation of patients. Because of this, it developed a Multilingual Conversational Bot based on Natural Language Processing (NLP) to provide free primary healthcare education, information, advice to chronic patients. The study introduces a novel computer application acting as a personal virtual doctor that has been opportunely designed and extensively trained to interact with patients like human beings. This application is based upon a serverless architecture and it aggregates the services of a doctor by providing preventive measures, home remedies, interactive counseling sessions, healthcare tips, and symptoms covering the most prevalent diseases in rural India. The paper proposes a conversational bot "Aapka Chikitsak" on Google Cloud Platform (GCP) for delivering telehealth in India to increase the patient's access to healthcare knowledge and leve rage the potentials of artificial intelligence to bridge the gap of demand and supply of human healthcare providers. This conversational application has resulted in reducing the barriers for access to healthcare facilities and procures intelligent consultations remotely to allow timely care and quality treatment, thereby effectively assisting the society.

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Computer Aided Skin Disease (CASD) Classification Using Machine Learning Techniques for iOS Platform

Alvino

Edwin

Arvinthan

et al. 2021

Intelligent Systems Reference Library

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Android Based e-Voting Mobile App Using Google Firebase as BaaS

Cited by 6 publications

References 5 publications

DigitalNizam: Shaping the Future of Pakistani Elections through Secure Field-Programmable Gate Array-Based Voting Solutions

DigitalNizam: Shaping the Future of Pakistani Elections through Secure Field-Programmable Gate Array-Based Voting Solutions

Medbot: Conversational Artificial Intelligence Powered Chatbot for Delivering Tele-Health after COVID-19

Computer Aided Skin Disease (CASD) Classification Using Machine Learning Techniques for iOS Platform

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