Volume 13 | Issue 4 |

 Abstract

The SMARTCARE Consultation Chatbot is an artificial intelligence-based symptom checker that can provide preliminary health checks and guidance based on symptoms input by the user. Using natural language processing (NLP) and machine learning, the chatbot analyzes symptoms and suggests potential conditions with corresponding actions. It provides easier access to healthcare information, reducing unnecessary hospitalization and helping in early diagnosis. The system has an intuitive interface for seamless interaction, offering real-time and precise answers. Built with Python, NLP models, and a secure backend, it is centered around precision and data security. The chatbot is a virtual healthcare assistant that maximizes healthcare efficiency and user satisfaction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, Natural language processing, Chatbot, algorithms, Support Vector Classifier

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Essential part of the human resource management is Human Resource Information System(HRIS). The study aims to examine many challenges and opportunities and noteworthy changes that Human Resource Information system in the digital era has brought out adoption of these digital technologies. The heart of these creative is capsulated in the title, "HRIS Unleashed: Pioneering the Path to the Digital Techno Scape" the study came to examine to the many aspect of this investigation by mean open extension of examination and Exploration of significant discovered in the subject of Human Resource Management digital technology play a crucial role to enhancing HR work numbers. In general the study highlights how digital technologies more especially HR analytics have the power to fundamentally alter HR processes and boost organizational efficiency. In addition, the study demonstrates how HRIS plays a vital role in streamlining HR procedures and providing organization with the analytical tools they need to successfully negotiate the challenges of the modern corporate environment. HR analytics yielded important themes and emphasized the role and culture of the company change management and user friendly interfaces have in influencing the success of HRIS initiatives. Exploration of significant discovered in the subject of Human Resource Management digital technology play a crucial role to enhancing HR work numbers investigators and academic have examined the effect of digital technology on HR management and have found multiple in which these Technology applied

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human resource information system, HRIS, Digital technologies,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract -The study ends with suggestions for more research aimed at enhancing VHA capabilities and examining the moral issues that arise when AI is employed to provide medical care. One of the main areas of study in computer science is artificial intelligence (AI). AI will be especially useful in ophthalmology and will significantly alter the diagnostic and therapeutic approaches for numerous eye disorders, including diabetic retinopathy, age-related macular degeneration, corneal ectasias, and glaucoma, despite its widespread use in many medical specialties ..AI is being used to detect clinical conditions in medical imaging and diagnostic services, control the COVID-19 outbreak with early diagnosis, manage electronic health records, improve patient engagement and treatment plan compliance, reduce the administrative burden of healthcare professionals (HCPs), find new medications and vaccines, identify medical prescription errors, store and analyze large amounts of data, and provide technology-assisted rehabilitation. However, in integrating AI into healthcare, this science pitch addresses a number of technological, ethical, and social issues, such as privacy, safety, the right to choose and try prices, information and permission, access, and efficacy. Keywords - artificial intelligence, patient involvement, privacy, safety, and retinopathy

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords - artificial intelligence, patient involvement, privacy, safety, and retinopathy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The Nipah virus (Niv) is a zoonitic paramyxovirus that mostly infects fruit bats and can occasionally spread to people through intermediary species like pigs. It causes severe respiratory and neurological sickness with a high fatality rate. In South and Southeast Asia, including Malaysia, Singapore, Bangladesh, and India, Niv epidemics have been documented. Niv has a high case fatality rate; in certain outbreaks, mortality rates can range from 40% to 75%. Because of its capacity to cause serious illness and epidemics, as well as the lack of an effective treatment or vaccination, Niv is regarded as a high-risk virus.. Index Terms - Nipah virus (Niv), neurological, neurological, species, respiratory

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Index Terms - Nipah virus (Niv), neurological, neurological, species, respiratory

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Brain is the most complex organ in the Human body. It produced our every though, Action , Memory, Feeling and Experience of the World. The parts of brain are cerebrum, Mid-Brain, Pons, medulla oblongata and cerebellum. Arterial blood supply to brain includes circulus areteriosus and its contributing arteries. It plays a vital role in maintaining a constant supply of oxygen and glucose to brain. Brain receives about 15% of the cardiac output, approximately 750 ml of blood per minutes.1 In adult, brain represents only 2% of total body weight, but consumes about 20% of the oxygen and glucose used even at rest. Typically an interruption in blood flow for 1 or 2 minutes impairs neuronal function and total deprivation of oxygen for about 4 minutes causes permanent injury. If blood entering the brain has low level of glucose, mental confusion, dizziness, convulsion and loss of consciousness may occur. The most common brain disorder is a cerebrovascular accident, also called a stroke or brain attack.2 Stroke is a term used to describe neurologic changes caused by an interruption in the blood supply to a part of the brain. Two major types of strokes are ischemic and hemorrhagic. Ischemic stroke is caused by a thrombosis or embolic blockage of blood flow to the brain. Bleeding in to the brain tissue or the subarachnoid space causes a hemorrhagic stroke. Ischemic strokes accounts for about 83% of all strokes. The remaining 17 % of strokes are haemorrhagic.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Study,Knowledge,Effectiveness Adult people ,Stroke

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the evolving landscape of digital education, the need for personalized, scalable, and always-available student support has led to the integration of intelligent virtual assistants. This research presents the design and development of an AI-powered adaptive chatbot for e-learning platforms, utilizing deep learning and natural language processing techniques. The chatbot employs a feedforward neural network built with PyTorch, trained on categorized intents in JSON format to understand and respond to user queries. By leveraging tokenization, stemming, and bag-of-words vectorization, the system achieves effective intent classification and real-time response generation. The chatbot addresses common student inquiries, delivers educational resources, and provides navigation support, enhancing learner engagement while reducing instructor workload. The modular and lightweight architecture ensures ease of customization and scalability, making it a valuable tool for modern e-learning environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Natural Language Processing (NLP)Intent Classification, Feedforward Neural Network, PyTorch

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Early detectin and accurate staging of knee osteorthritis using CNN.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knee osteoarthritis detection and prediction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research investigates credit risk in housing, car, and personal loans at Canara Bank using machine learning methods. Credit risk remains a major concern for banks, and this study applies a Decision Tree Classifier to analyze key financial attributes influencing loan repayment patterns. The dataset, sourced from Kaggle, includes variables such as debt-to-income ratio (DTI), income, credit score, loan grade, and homeownership status. The model achieved an accuracy of 89.5%, with DTI emerging as the most influential factor, followed by loan grade and income. The findings underscore the potential of machine learning in improving credit risk evaluation, minimizing non-performing assets, and enhancing the speed and accuracy of loan approvals. This approach allows for early identification of high-risk borrowers and enables more effective, personalized lending strategies. Overall, the study offers valuable insights into modernizing credit assessment practices to strengthen financial stability and decision-making in the banking sector

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit Risk, Debt-to-Income Ratio (DTI), Decision Tree Classifier, Machine Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Design of any mechanical element is an initial/primary industrial process that influences the product's quality. In this study we consider an Alloy wheel rim belongs to a very high selling car in India. Both tyre and rim manufacturers beliefs that rim's dimensions, shape should be suitable to adequately accommodate the particular tire required for the car which may leads the easy interchangeability. In this review paper we also have studied the different types of material that we are going to use for analyzing alloy wheel rim. During the survey we planned to study the fatigue analysis of different materials like Aluminium alloy, Magnesium alloy, Titanium alloy and Carbon fiber on the basis of their deformation under load, maximum shear stress of materials, and equivalent stress of the materials. The wheel rim is designed by using modeling software Creo Parametric. The parameters for the rim are considered on basis of industrial standard. Later the Creo model is imported to ANSYS Workbench R19.2 with adequate engineering data with material properties where we simulate the different forces, pressure acting on the rim and calculate and view the results.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alloy Wheel, Alloy Rim, Structural analysis, Aluminium alloy, Magnesium alloy, Titanium alloy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Heavy duty tasks in any industry or workshop are managed by several mechanical equipment's like cranes, hoists, lifts etc; it involves loading/unloading of goods, shipping of heavy materials, lifting and dropping heavy equipment's. Heavy duty tasks such as engine removal from vehicle for repairing/rebuilding and restoring, likewise complex operations that involves the movement of heavy engine parts in the workshop from one place to another. The task usually requires time depending on the hoisting device employed. Chain hoist requires more time as it is operated manually by human efforts and has certain limitations, like it is fixed with some constructed beam or tripod on other hand, hydraulic hoist has more capacity to lift heavier engine than chain hoist and electrical hoist. However, Electrical hoist has lifting capacity up to weight of about 200-250Kg but has adequate speed than other lifting devices like chain hoist and hydraulic hoist. In this servey, several design concepts are considered for hoisting/lifting heavy engine assembly more than 250kg and we planned to test the portable lifting hoist by modeling the assembly in Creo Parametric and analyze it in Ansys Workbench with prescribed engineering data and different loading conditions to optimize various failure stages, equivalents stresses and other optimistic findings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Engine Hoist, Crain, Hydraulic Lifting Device, Chain Hoist, Electric Hoist, Hoisting Device

  License

Creative Commons Attribution 4.0 and The Open Definition