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.

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

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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

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Human resource information system, HRIS, Digital technologies,

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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

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

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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

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

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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.

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Study,Knowledge,Effectiveness Adult people ,Stroke

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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.

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

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Early detectin and accurate staging of knee osteorthritis using CNN.

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Knee osteoarthritis detection and prediction

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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

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

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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.

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

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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.

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

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The widespread disorder known as alopecia, which is defined by hair loss on the scalp or other parts of the body, affects people's psychological health and sense of self. Alternative, natural remedies are becoming more popular as alopecia is treated with traditional methods like minoxidil and corticosteroids, which are not always successful and frequently have negative effects. A medicinal plant with antibacterial, anti-inflammatory, and antioxidant qualities, garlic (Allium sativum) has gained attention as a possible alopecia cure. Due to its ability to improve blood flow to the scalp, distribute vital nutrients, and stimulate hair follicle regeneration, garlic's bioactive chemicals--especially sulphur compounds like allicin--may help keep hair healthy. This review examines various herbal treatments, including well-known herbs likeRosmarinus officinalis (rosemary), Aloe vera, Camellia sinensis (green tea), and Panax ginseng, Allium sativum(garlic).some marketed formulations are nutrich from ayulabs, regrow from avolado, siddha shampoo from Surya labs.Numerous studies have demonstrated that garlic gel, either by itself or in conjunction with traditional therapies. Because of its antibacterial qualities, garlic may help prevent scalp infections linked to hair loss, and its anti-inflammatory effects may help lessen autoimmune responses in alopecia areata. Garlic also protects against oxidative stress, which is known to cause damage to hair follicles thanks, to its antioxidant properties. Garlic gel therapy for alopecia shows promise, but further clinical study is needed to identify the best formulations, administration techniques, and any adverse effects. Garlic gel is a safe and effective natural alternative or supplementary therapy for controlling alopecia, according to preliminary research; nonetheless, customized techniques are advised. Garlic gel may play a significant role in herbal treatment for alopecia with more research, providing patients with a convenient and all-natural means of hair restoration. In conclusion, herbal treatments hold promises as a natural, accessible option in the management of alopecia. With further research, they may become integral components in hair loss therapies, providing holistic and well-tolerated alternatives or complements to conventional treatments.

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Alopecia, Garlic, Hair Growth, Herbal Treatment

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The paper attempts to sub-sample the farmers in Jalgaon district on the broad range of agricultural inputs (seed, fertilizer, pesticides, and farm equipment). The study focuses on identifying the multiple factors that affect farmers' purchasing decisions and include price, brand reputation, availability, dealer influence, and government schemes. Data Collection: Primary data was surveyed through structured questionnaire on a representative sample of farmers selected from different talukas of Jalgaon. These results show how much price-sensitivity, peer-influence, and input-abundance impact decision-making. Behavioral differences were found by farm size, income levels and educational backgrounds. The study provides practical recommendations for input suppliers, agricultural extension services, and policymakers to improve the impact of marketing strategies and support mechanisms in rural settings. It also underscores the importance of awareness campaigns and enhancing supply chain efficiency to better serve the farming community.

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Farmer behaviour, agricultural inputs, rural marketing, Jalgaon district, buying decisions, input supply chain, consumer preferences

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SmartMed Inventory Navigator is an AI-powered system created to help hospitals, clinics, and pharmacies manage their medical inventory more efficiently. It uses artificial intelligence to track stock in real time, predict future needs, and automatically reorder items before they run out. This helps reduce waste, prevent stockouts, and ensure smooth healthcare operations. The system is built using modern technologies like Node.js, React.js, Supa base, and AI services like OpenAI and Hugging Face. It includes secure user login, role-based access (Admin, Manager, Staff), and keeps a log of all important activities. With easy setup through Docker or npm, it supports both local and cloud deployment. Overall, this project aims to simplify and improve how healthcare facilities handle their medical supplies using smart technology.

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Medical Inventory Management, Artificial Intelligence, Healthcare, Automation, Node.js, React.js, Supa base, Smart Inventory, AI in Healthcare, Role-based Access Control

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The concept of One Nation, One Election (ONOE), which advocates for simultaneous elections to the Lok Sabha and State Legislative Assemblies, has re-emerged as a major political discourse in India between 2019 and 2023. This research examines how social media platforms--specifically Twitter, Facebook, WhatsApp, and YouTube-- have influenced public perception, political narratives, and electoral outcomes related to ONOE. Through a mixedmethods approach involving content analysis, sentiment analysis, case studies, and surveys, the study explores the digital dissemination of both support and opposition to ONOE, highlighting the role of misinformation, propaganda, and political engagement in shaping voter opinion. It delves into how different political parties have framed the ONOE narrative and how public sentiment has evolved in response to these narratives. The research also assesses constitutional and logistical challenges to implementation and offers comparative insights from countries like the USA, Germany, Indonesia, and South Africa that have experimented with synchronized elections. Ultimately, the study provides a data-driven understanding of the intersection between digital media and electoral reform debates in India, offering policy insights for democratic governance and future electoral planning.

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One Nation One Election (ONOE),Social Media and Politics, Political Narratives, Electoral Reform in India Misinformation and Fake News, Digital Democracy, Voter Behavior,Twitter Politics, Electoral OutcomesComparative Electoral Systems, Simultaneous Elections, Federalism in India, Election Commission of India, Constitutional Amendments, WhatsApp Misinformation Social Media Sentiment Analysis, Policy Stability, Indian Political Discourse, Electoral Synchronization, Public Perception

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'Chaitee' is a form of song that is usually sung in the month of Chaitra or Chaita (as per Indian almanac) 'Chaitee' songs are prevalent, mainly in the Southern region of Bihar and Eastern region of Uttar-Pradesh. It is called by different regions of India. It is called as 'Ghaanto' in Bhojpuri language, 'Chaitawar'in 'Maithili language. 'Chaitaar' is a melodious style of singing as per musical point of view. The artistic aspect as well as the conceptual aspect are importantly placed in 'Chaitee' songs. 'Shringar-Ras', 'Karuna-Ras' and 'Bhakti-Eas' and experiences of our daily life etc. are found narrated in 'Chaitee' form of songs. Especially the word 'Ho Rama' is used in every Chaitee song. At times, during some music programmes the singers are divided into two groups. If a singer of a group sings the lines of a 'Chaitee' song then his counterpart singer sings 'Ho-Rama'. Most of the 'Chaitee songs are sung in seven or eight scales of music. The songs of seven scales method use 'Roopak-Taal', sometimes 'Chanchar-Taal' of fourteen scales are also used in these songs.

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Song, Language, Style, Thumri, Vocal

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 Abstract

Ashtang yoga ki prasangikta: vyaktitav vikas ke vishesh sandarbh mein

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Ashtang yoga ki prasangikta: vyaktitav vikas ke vishesh sandarbh mein

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The clarinet's predecessor was the chalumeau-the first true single reed instrument. It appeared in the late 1600's and wasn't very flexible and had a range of about 1.5 octaves. Johann Christoph Denner (Nuremburg) and his son, Jacob are attributed to innovating the speaker key which gave the clarinet a larger register. The clarinet overblows at the 12th, the other woodwind instruments overblow at the octave. So, when you play with the thumb and first three fingers of the left hand without the speaker key, you sound the note C. When you add the speaker key, you do not get a Can octave higher, you sound a G, which is the interval of a twelfth. Because of his improvements of the chalumeau J C Denner is said to be the inventor of the clarinet. The clarinet is individual in the shape of its bore, as well. While every other woodwind instrument has a conical bore (yes, even the flute!) the clarinet has a cylindrical bore-it doesn't flare, even though the bell of the clarinet gives that impression. This is why the clarinet overblows at the twelfth and is so laden with overtones, which contributes to its unique sound. In the late 1700's, many improvements were made to the clarinet-more keys were added and the tone holes were experimented with different cuts and such. Iwan Muller (German) developed a thirteen keyed model. This clarinet remained in favor until the late 1800's. Klose and Buffet adapted the Boehm (flute) fingering system to the clarinet ca. 1839-1843. This system is the one most common today, although there are other fingering systems in use such as the Albert and Auler (mostly in Germany.)

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Flexible, Instruments, Improvements, Overblows, Sound, Tones

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This research analyzes how the government's policies and regulations influence the self-employed FinTech ecosystem in India. It applies a mixed methods design by integrating quantitative surveys (n = 135) with qualitative analysis of policy documents and expert interviews. Primary results indicate that self-employed individuals' harsh regulatory constraints and high compliance costs stifle growth, even with increasing FinTech usage. The study aims to deepen the policy debate on financial inclusion and proposes a specific regulatory framework to achieve optimal policy balance. It contributes to literature by highlighting the under-researched self-employed demographic within the FinTech ecosystem..

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FinTech, self-employed individuals, government policies, regulatory framework, financial inclusion, digital finance.

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Road safety is seriously threatened by foggy weather since it frequently results in decreased visibility and a higher chance of collisions. Conventional fog warning V2V communication systems are ineffective for real-time applications since they depend on infrastructure-based solutions or high-latency blockchain networks. To overcome these constraints, this study suggests a real-time fog detection and vehicle-to-vehicle (V2V) alert system that combines OpenCV-based image processing for fog detection with SUMO (Simulation of Urban MObility) to modify vehicle speed in low-visibility situations dynamically.The system records visual information in real-time, analyzes it to determine whether fog is present and how bad it is, and then sends out a warning. In the SUMO simulation, impacted cars are alerted when fog is detected, which causes them to slow down progressively to prevent crashes. This method is more affordable, lightweight, and scalable than sensor-dependent alternatives, allowing it to be adjusted for different road conditions without costly hardware installations.This system's low-latency warning transmission, which guarantees instant speed regulation upon identifying hazardous conditions, is one of its main advantages. Furthermore, realistic testing of traffic behavior in low visibility conditions is made possible by the SUMO-based simulation framework, which offers important insights into how cars ought to react in actual situations. According to experimental findings, dynamic speed adaption in foggy situations greatly improves road safety by lowering the likelihood of accidents and minimizing abrupt braking.

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Vehicle to Vehicle Communication-SUMO-OPEN CV

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Small and medium-sized sports goods firms in Jalandhar drive important economic results for India. The industry now faces multiple challenges that put its financial stability at risk, including market dependence on foreign countries, COVID-19 recovery, international rules and the need to change the business model. Our research studies rank the most critical obstacles faced by small and medium sports goods enterprises in Jalandhar through market research collection. A team studied financial performances at 100 SMEs and tested key relationships using statistical models and calculation methods. High export reliance combined with increases in shipping and material expenses puts serious risks to SME survival. International companies must follow strict workplace and environmental rules, which create financial stress for companies without understanding these policies and proper technical training. Companies using digital tools for business and manufacturing become more sustainable and better connected with their customers. More effective support programs combined with education offer the best way to help small enterprises meet all requirements while adopting digital transformation. Researchers should examine how businesses will keep adapting into the future while examining the benefits that government support offers to sustainable growth.

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Sports Goods Industry, SMEs, Economic Viability, Compliance Challenges, Digital Transformation, Global Market Dependence

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