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Chatbots are being used in a wide variety of industries, ranging from industry to education. It is not as effective when using traditional ways of developing a chatbot system as it is when using machine learning (ML). Historically, they were created using finite-state machines, rule-based systems, and knowledge bases. Although these technologies had shortcomings, they were nonetheless employed to create chatbots. This is because natural language processing and neural network technology have simplified the task of conversational AI systems categorizing intentions and locating persons and places. Many people have asked us how we created an Arabic chatbot that understands real language, and we'd like to demonstrate how we achieved it. It is capable of responding, acting on behalf of the user, and retaining the context of a communication between two persons. We employed models such as FastText and BERT, which may be used in multiple languages concurrently. Additionally, we employed two pipeline components that we created specifically for this project. [ABSTRACT FROM AUTHOR]

When the flow of blood in any section of the brain is interrupted, a brain stroke happens. If blood flow is stopped prolonged period of time,the brain is depleted of blood and oxygen, brain cells can perish, which impairs the functions controlled by that area of the brain. Estimating the likelihood of an illness or diagnosis, assessing the prediction or result of diseases, and supporting physicians in prescribing therapy for diseases are just a few of the numerous prediction methods that have been extensively used when making clinical decisions. However, due to their inability to simulate the difficulty of feature representation in the healthcare issue domains, standard predictive models or techniques are still insufficient for capturing the underlying knowledge. The classifier from Adaboost was used on a dataset a cardiac condition in this study to report predictive analytical techniques for stroke illnesses. Atrial fibrillation signs and symptoms in people with heart disease are a significant risk element for stroke, and they share the same factors to anticipate stroke. The results of this study is more precise than existing medical grading procedures for alerting cardiac patients who are at risk for stroke. [ABSTRACT FROM AUTHOR]

India the land of art and culture has always been the centre of tourism since ages and people welcome and serve their guest as a god as they believed in "Atithi Devo Bhava" which means "Guest is like God". Also government providing many subsidies and incentives on making people entrepreneur and encouraging hotel and tourism industry to come up with the best ambience and hospitality for their guest. Hospitality industry providing lots of opportunity in terms of job as well as revenue for development of states like Sikkim, Himachal Pradesh, Uttarakhand etc. Tourist places are mostly situated in the extreme interiors of rural areas lead by local entrepreneurs, where life is itself a challenge to deal with the extreme climatic conditions, not well-structured accommodations, poor safety guards and lack of medical facilities that are all intrinsic to meet the basic living standards. In Uttarakhand, such rural areas include religious sites Yamunotri, Gangotri, Kedarnath and Badrinath, Chopta, Chakarata, etc along with some semi and well-developed cities like Haridwar, Rishikesh, Dehradun, Nainital, etc which all remain flooded with tourists in the season. In this COVID-19 phase, the whole industry has suffered badly and left everyone bewildered to make any decision for the future. Central and the state governments had updated some and will update several guidelines and policies for the tourism industry in the coming days. Hotels with good financial conditions and market values can easily adopt new SOP's and technologies to deal with the situations after the pandemic, but it will not be the same for the small or local entrepreneurs. This study covers the current and post COVID-19 problems faced by small and local entrepreneurs of Uttarakhand and proposals and plans needed by them to boost their business and tourism with the same theme of Atithi Devo Bhava. [ABSTRACT FROM AUTHOR]

The first step in developing a system is to define it (requirement specification). In this paper, the combination of the complexity of the incremental model with the object-oriented software engineering model led to a new way of developing software system requirements based on the system's goal. This study focused on the earliest and most critical stage of a software system's life cycle: creating the software specifications that would be utilized to ensure its success. These requirements must be carefully examined when developing a trustworthy software system. This method is used to design and define requirements for COVID-19's social distance online reservation system, and it proved its efficiency in terms of describing what had to be done and the subsequent processes for design, building, and development. COVID-19 developed and enhanced the system. Use it afterwards to demonstrate how nicely it functions. [ABSTRACT FROM AUTHOR]

Creating Ultra-fine grains by severe plastic Deformation has been made by various researchers as demand of lightweight materials increases in various industries. SPD techniques have been utilised by researchers for producing UFGs. But to maintain the overall properties of the material at the same time is very difficult. To enrich the overall properties of the materials as well as alloys, Liquid nitrogen processes are involved. Processes at Cryogenic temperature improved the strengthen of the material. Comparison has been also made by various researchers and it has been noted, the properties of the materials after Liquid nitrogen improved as it compared with room temperature processes. The microstructure Evolution has also been made and it has been noticed the properties enhancement by liquid nitrogen is much more preferable than conventional processes. [ABSTRACT FROM AUTHOR]

The rapid development of web design technology and the need to maintain the efficiency of design engineering in a way that meets quality standards and user needs, as well as the areas of specialization of these sites and how to use them, especially in the field of e-commerce, and the growing demand for e-commerce sites in all countries around the world There is lots of research to show how the UML (Unified Modeling Language) class diagram phase fits into the software engineering lifecycle of designs for such commercial websites. The research was conducted using a prototype to implement the system development phase with the use of system design using UML, system building programming environments, HTM, CSS, Javascript, and MySQL database server as back-end storage for e-commerce applications. The system is set up so that the interface of the site is easy for people of all ages and backgrounds to use and enter the information needed for online reservations. It meets the purchasing and problem-solving needs of all users. Customer problems with these products that we display on our website have been through A group of vendors and users have tried out the site, and the prototype has been changed to meet the exact needs of the system. Also, the Internet of Things is used in developing this system. which uses SMS messages, was made with the help of the Internet of Things. [ABSTRACT FROM AUTHOR]

The rapid development with the advancement of the state in civilization and technology, it has become important to involve people with special needs in society by giving them ways to communicate using sign language so that they can express themselves and join the community rather than being a financial burden on the state. In this research, a serious method has been proposed and developed for sign language communication for deaf and dumb people to communicate using sign language for Arabic letters. It is a mechanical phrase from the palm of the hand that can be used to teach sign language to deaf and dumb people and translate sign language into Arabic when linked to a mobile app that can talk to the palm of an industrial robot through text and voice letters. Each sign in the fingers of the hand means a letter. This system has been tested on a group of people with special needs and has proven successful. About 90% of people are satisfied with the system as a whole, which means it works well. The system using the programming environments Arduino IDE (C++) and MIT App Inventor and the palm of an industrial robot was manufactured locally. [ABSTRACT FROM AUTHOR]

Online transactions and shopping make the life of urban cities more comfortable. But this system is not full proof there are various flaws due to which hacker can steal all the hard-earned money is very less amount of time. The need for earlier detection of online frauds is increasing day by day. Online fraud refers to frauds when product bought online is of cheap quality or the money from one account is robbed. In this paper, we are going to discuss various types of online-based frauds and their detection using machine learning. Accuracy is also an important factor while discussing online frauds in this paper we are also going to discuss various methods used to calculate the accuracy. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a term used to describe a group of neurodevelopmental abnormalities. Differences in communication and social interaction are characteristics of these disorders. People with ASD may have limited and repetitive hobbies or behavioural patterns.ASD affects people of all races & ethnicities, cultures, and socioeconomic backgrounds. Early infancy is when ASD symptoms typically appear, usually between the ages of 12 and 24 months. Symptoms, on the other hand, could appear at any time. A severe delay in linguistic or social development could be one of the first indicators. Autism involves symptoms relating to physical movements and behaviours and speech and social difficulties. It's unclear why autism occurs. It might be caused by issues in the regions of your brain that interpret sensory information and process language. It may happen to persons of any race, nationality, or social status. The proposed study is reviewed to identify the autistic disorder and detect this ASD problem using machine learning, as well as to conclude the behavioral features of human nature during ASD. [ABSTRACT FROM AUTHOR]

The estimation of software costs is the key step in the software growth process. It estimates the volume of time and effort required to develop a software set up. It is the very important duty, and a precise estimate gives a solid foundation for the growth process. The Constructive Cost Methodology (COCOMO), the most extensively used estimated cost model, is discussed. For perceptron learning technique the artificial neural networks utilized for creating model. The network is trained and tested using COCOMO dataset. The goal of the study is to improve COCOMO model's approximation validity by including artificial neural networks. [ABSTRACT FROM AUTHOR]

Object detection is a significant task that forms the basis for many image processing and computer vision applications. Automobiles and vehicles are engrained in popular culture as one of the most versatile and convenient means of transportation. While it is a convenient and popular means of transportation, it is also quite dangerous. Every year, several people are killed in car accidents caused by another vehicle or object. A Method for Preventing Mishaps Many incidents can be prevented if drivers avoid exposure and evasion, which are caused by things like loss of control, irresponsible driving, exhausted or drunk drivers, and a lack of concentration on the road. The market currently does not provide a standard safety feature in any car, nor does it provide the use of sensory equipment to identify potentially dangerous objects at a defined distance. The goal of this study is to create intelligent driver monitoring software that identifies tiredness and helps to avoid traffic accidents. A driver and a publicly accessible online tracking program The technology measures him if he blinks his eyes. It is done by measuring the distance between the eyes or by staring at specified spots. Python is the programming language utilized in the development of the software system. It uses the OPENCV and Media Pipe libraries, a Media Pipe Face Mesh technique is used in this paper. The system can calculate the time of nap, and it triggers beep sound if the nap occurs in any time. the system take consider, if the driver haver 30 or more of that value in napping. It will be send alarm message IOT system with the current location of driver to driver family. [ABSTRACT FROM AUTHOR]

In modern days, various tools and technologies of cloud computing are widely used in different domains that are offered by cloud service providers on a usage-based payment method. As the number of resources availed may vary from tens to hundreds, it is very challenging to appraise the performance of resource management policies of the cloud computing arena. There are many tools in the form of kits available to simulate and model the cloud environment. Some of them are Green Cloud, Cloud Analyst, GridSim and CloudSim etc. In this research, we have used CloudSim as a simulator which is helpful to do a simulation in Data Center. With the help of scheduling policies, this toolkit may build several virtual machines on a single Data Center node, as well as assign user requests in the form of Cloudlets to virtual machines. In this paper, a study of scheduling of cloudlets using Time – Shared and Space – Shared policies using FCFS, and Round Robin resource allocation algorithms have been done and there is a comparison of the results obtained from both the processes based on the different variables like total execution time, the total number of resources etc. The compared result yields the optimized resource management at the end. [ABSTRACT FROM AUTHOR]

U-net is an image segmentation approach developed mostly for image segmentation tasks. The style includes a max pooling path to acquire context and a symmetrical up sampling track through concatenation that allows accurate localization. The success of U-net appears in its considerable use in mostly all considerable photo methods, from CT scans as well as likewise MRI to Xrays in addition to microscopy. In addition, while U-net is considerably a segmentation tool, there have actually been circumstances of utilizing U-net in various other applications. Considered that U-net's possibility is still elevating, in this paper, U-net model is trained on MADS dataset and afterwards the model's efficiency is reviewed with future suggestions and enhancements. [ABSTRACT FROM AUTHOR]

Natural language processing (NLP) has received a great deal of attention for its computer representation and evaluation of human language. AI, email spam location, data extraction, once-finished, clinical, and question addressing are only a couple of the applications. The article is broken into four areas, with the first talking about different degrees of NLP and parts of Natural LanguageGeneration (NLG), trailed by the arrangement of encounters and improvement of NLP, the high level, new things, and weights, and future expansion. We'll also look at the tools and methods utilized in Natural Language Processing, as well as how these procedures work when we apply them. The single correlation between operations and how each approach performs. Regular language handling has not yet attained flawlessness, although continued progress in this field can certainly approach the line of flawlessness. Today, numerous AIs recognize and respond to consumer voice directions using typical language handling calculations. [ABSTRACT FROM AUTHOR]