ABSTRACT
With the outbreak of the global pandemic, India seemed to reach its peak with regard to the number of confirmed positive cases in the months of April and May. Hence, the decision was made to develop a data visualization project with one of the efficient visualization tools Tableau to help people analyze the scenario of the cases across the country. To contribute to state-wise and country-wise analysis of COVID cases in India, 2 dashboards have been developed. The first dashboard consists of the analysis of cases across the country giving a holistic and overall view of the number of deaths, positive cases, and density of cases in each state which is done through color variation. On the other hand, the second dashboard gives a detailed state-wise analysis of cases with the necessary parameters and details catering to every individual state as per the preference of the user. On merging these components, users can get an all-inclusive analysis based on different parameters on the COVID'19 cases across India at a glance. In order to prevent a further spike in cases, implementing a face mask detection system will also take place after conducting a thorough analysis of the possible machine learning algorithms. Two major object detection algorithms were taken into consideration and based on the conclusion drawn, the best algorithm - RCNN was used to implement the face mask detection system. This project is solely motivated by the current extreme situation in the world and as an attempt to provide a solution to combat the same. © 2023 IEEE.
ABSTRACT
Chatbot has become an essential crowd puller in the world today and is used in various domains and professions. With increasing technologies and advancements in AI, components of voice assistance have been gaining prolific importance when integrated with chatbots. INTELLIBOT is a smart bot that not only interacts with its users through an interactive and aesthetic platform but also had added features for customized experience. It makes use of speech to text and text to speech processing to listen to the user and speak back to them. This paper would give insights on the various applications of chatbots and existing systems along with the system we have proposed to overcome and curb the challenges posed by them through the INTELLIBOT framework. Further, the paper would elucidate the use of Naïve-Bayes algorithm and pattern matching algorithms for the same. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Internet of Things (IoT) has changed the way of living today. Today, Internet connected things (ICT) are increasing at a rapid rate and connecting with devices to reduce load from human being. Irrespective of the sector, the IoT devices are everywhere taking care of everything from the agriculture sector to the sector of manufacturing. But, due to the global COVID 19 pandemic, the sector of health care demands the major use of IoT today. Due to the prevailing pandemic, healthcare professionals also choose to treat the patients virtually rather than treating them physically. IoT plays a major role here. But, most of the application providers or service providers or any other system involving IoT devices for generating and storing data may become a way of leak of information or stolen by a third party for black mailing or financial gain thus leading to privacy and security leak of the user. This work includes all such views with various issues and recommended solutions for the same. Also, other security and privacy requirements and corresponding solutions are also included to provide future researchers a solid base and a clear depth in knowledge regarding the security and privacy issues and solutions required. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.