Volume 12 | Issue 5

 Abstract

Study of indigenous medicine is the new horizon of medicine. Backed by effectiveness of secondary metabolites, plant extracts of Holoptelea integrifolia have been used since ages in curing routine maladies of skin and pain management. Also known as Indian elm tree or jungle cork tree, it is widely distributed along Sino-India and Indo-Myanmar region. Pharmacological studies indicate the effectiveness of isolated secondary metabolites like terpenoids, sterols, tannins, saponins, alkaloids and other biomolecules in treating alleviating symptoms of various skin infections, rheumatism and cancer. Although, studies are still required to trace the biochemical interactions of these molecules and target tissues along with toxicity assessment, it sure is a potential candidate in preventative medicine.

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Key Words - indigenous, secondary metabolite, rheumatism, toxicity assessment.

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In recent years, the landscape of marketing has witnessed a significant transformation, largely propelled by the advent and widespread adoption of social media platforms. Among the myriad of marketing strategies that have emerged, influencer marketing has emerged as a prominent and impactful approach for brands to connect with their target audiences in a more authentic and engaging manner. This phenomenon has garnered immense attention from marketers, researchers, and consumers alike, owing to its potential to shape consumer behaviors, influence purchasing decisions, and foster brand loyalty. India, with its burgeoning digital population and rapidly evolving social media landscape, stands at the forefront of this paradigm shift in marketing practices. As one of the world's largest markets for social media consumption, India presents a fertile ground for exploring the effectiveness of influencer marketing and its implications on consumer behavior, particularly in terms of loyalty and intention to follow influencers. The essence of influencer marketing lies in its ability to leverage the social capital and authority wielded by individuals who possess a significant following and influence on various social media platforms. These influencers, often individuals with expertise, credibility, or charisma within specific niches or industries, have the power to sway consumer perceptions, preferences, and purchasing decisions through their content and recommendations. Unlike traditional advertising approaches, which may be perceived as intrusive or insincere, influencer marketing thrives on the principles of authenticity, relatability, and trust, thereby fostering deeper connections between brands and consumers. Central to the effectiveness of influencer marketing are several key factors that warrant exploration and scrutiny. Firstly, the level of social media engagement generated by influencers plays a pivotal role in determining the reach and impact of their content. High levels of engagement, characterized by likes, comments, shares, and interactions, not only amplify the visibility of brand messages but also signify the resonance and relevance of the content with the target audience. Moreover, the relevance and authenticity of the content shared by influencers are crucial determinants of their effectiveness as brand ambassadors. Consumers today are discerning 5 and value authenticity, preferring content that aligns with their interests, values, and aspirations. Thus, the ability of influencers to create compelling, relatable, and value-added content that resonates with their followers holds immense significance in driving consumer engagement and brand affinity. Furthermore, the role of customer feedback and reviews in shaping consumer perceptions and purchase intentions cannot be understated. In the digital age, consumers have unprecedented access to information, reviews, and testimonials, which significantly influence their decision- making process. As such, the manner in which influencers navigate and respond to customer feedback, as well as the authenticity and credibility of their endorsements, can profoundly impact consumer trust and loyalty towards the brand. Additionally, the integration of influencer marketing across multiple channels and touchpoints is essential for maximizing its reach and effectiveness. Cross-channel integration enables brands to amplify their message and engage with consumers across various platforms, thereby enhancing brand visibility and fostering a cohesive brand experience. Moreover, the concept of media richness, which pertains to the degree of interactivity and sensory cues present in communication channels, has significant implications for influencer marketing effectiveness. Platforms that offer rich media formats, such as videos, live streams, and interactive content, facilitate deeper levels of engagement and emotional connection with audiences, thereby enhancing the persuasive impact of influencer endorsements. Furthermore, the phenomenon of narcissism, both among influencers and their followers, merits attention in the context of influencer marketing effectiveness. Narcissistic tendencies, characterized by self-promotion, vanity, and a desire for admiration, may influence the content creation, engagement strategies, and consumer perceptions associated with influencer marketing campaigns. Against this backdrop, this study seeks to investigate the effectiveness of influencer marketing in the Indian context, with a focus on social media engagement, content relevance, customer feedback and reviews, cross-channel integration, media richness, interactivity, and narcissism. By examining the interplay between these factors and their impact on consumer loyalty and intention to follow influencers, this research aims to offer valuable insights for marketers, brands, and policymakers navigating the dynamic landscape of digital marketing in India.

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 Keywords

Influencer Marketing, Social Media Engagement, Content Relevance, Customer Feedback And Reviews , Cross Channel Integration, Media Richness , Interactivity And Narcissism Upon Loyalty And Intention

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Over the past few years, the annexation of co-curricular activities (CCAs) in experiencing learning and assessing grammar competence has increasingly been filtered into educational discourse in the EFL context. The empirical evidence based on questionnaires shows that traditional methods in grammar learning do not foster learners' potential development and confidence in assessment tests. Learners are taught and assessed in different grammar components following only academic resources via close tests. This paper proposes to include co-curricular activities with academic content in a weekly lesson plan for experiencing grammar learning and assessment tests to 25 cohorts of the 1st semester of the Department of English at a private university in Bangladesh. This paper collected data through triangulation methods through observation, interviews, and focus group discussion using sociocultural theory (SCT). In this study, CCAs comprised drama, song, and debate to reinforce their ways of learning grammar, foster critical thinking, and assess grammar competence while writing scripts, lyrics, and speeches. It intended to launch a transformative approach with the inclusion of CCAs to remove inhibition and fear of the learners in grammar learning and assessment tests by creating a collaborative intervention with peers, teachers and learning contents. This paper investigated how CCAs facilitated academic grammar learning and worked as an effective means to engage learners comprehensively, reduce their affective filters implicitly, and thus, significantly impact the achievement of continuous classroom assessment. This paper may give learners and teachers a new vision of learning and assessing grammar in the EFL context.

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Experiencing Grammar learning, Co-curricular Activities, Transformative Approach, Assessing Grammar Competence, EFL (English as a Foreign Language) Context

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A lot of bank benefits are gotten from credits. in any event, when a sizable part of the populace applies for credits. It's trying to choose the serious borrower who will reimburse the advance. While choosing the real candidate physically, there may be a couple of misconceptions. We are subsequently fostering an AI based credit expectation framework that will pick the qualified competitors all alone. Both the candidate and the bank staff benefit from this. The span of advance authorizing will be essentially abbreviated. In this review, we foresee credit information utilizing AI methods, especially Choice Trees. Besides, procedures for addressing class awkwardness and model interpretability are investigated to guarantee the unwavering quality and straightforwardness of the prescient framework. Interpretability strategies, for example, highlight significance investigation and fractional reliance plots are utilized to clarify the variables impacting credit endorsement choices. The proposed ML structure exhibits promising outcomes in precisely foreseeing advance endorsement results while giving bits of knowledge into the elements affecting loaning choices. By utilizing this prescient model, monetary foundations can smooth out their advance endorsement processes, lessen dangers, and improve effectiveness, at last working with admittance to credit for meriting candidates while protecting against expected defaults.

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Gradient boosting, Random Forest, Decision Tree, Machine learning, Loan Prediction.

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This groundbreaking application aims to achieve real-time color shade identification, offering precise predictions of color names--a task that poses inherent challenges for computers despite humans excelling in this domain. Leveraging the powerful NumPy and OpenCV libraries in Python, this paper employs unique methodologies. OpenCV, known for its optimized Computer Vision tools and crucial hardware support, forms the backbone of this technology, pivotal not just in Artificial Intelligence applications but also in transformative fields like self-driving cars, robotics, and photo correction apps. This endeavor seeks to narrow the gap between human color perception and computational capabilities, revolutionizing computer vision and enhancing various industries' efficiency in color identification and prediction.

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RGB Color Extraction, OpenCV GUI, Image Processing Interface.

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Artificial intelligence is more than just a new technology used for its "cool factor". AI implementation has the ability to have a wide-ranging impact on your organization's business processes. At its heart, artificial intelligence is a collection of several technologies capable of executing tasks that require human intelligence. When applied to typical corporate tasks, these technologies can learn, act, and execute at human-like levels of intelligence. It is utilized to replicate human intelligence in machines, which saves us time and money when conducting business. Artificial intelligence has grown in popularity as information and communication technology has advanced. Companies in today's e-commerce industry primarily seek to influence client behaviour in favour of specific products and brands. The use of artificial intelligence as an innovative tool in the sphere of e-commerce may appear to be a favourable development. The article focuses on the fundamentals of e-commerce and artificial intelligence, as well as their advantages. The goal is also to assess the significance of artificial intelligence and its application in the context of e-commerce using available studies on the subject.

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Artificial intelligence, Machine learning, E-commerce, industries, communication technology

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The term Disaster' originated from the French word 'Desastre' which is the combination of the atticle - 'des' and 'astre' meaning 'star'. Social disaster isanevent which may cause tremendous disruption to a society, such as natural disasters, pandemics, civil unrest, wars and economic crises. A Social disaster is the highly harmful impact on a group, society or community which is usually caused by a social or natural hazard event. We define Society as a group or aggregate of people living together in an organized and structured way and sharing the work that needs to be done. Social disasters are usually out of human control and they have huge repercussions on the society just like a war or combat or a similar natural disasters. Some examples of social disaster events may include: terrorism, flooding, drought, earthquake. A social disaster can cause loss of life or damage to the property. The severity of the damage depends on the affected population's resilience and also on the infrastructure of the populations country. Natural disaster and Social disaster are both interrelated.

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Disaster, Society,Community, Hazard, Social Disaster, Flood, Drought, Natural Disaster.

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The Naga people of Northeast India have a rich tradition of textile weaving, which plays a central role in their cultural identity. However, in recent years, traditional weaving practices have faced challenges due to modernization and changing lifestyles. This paper explores the importance of preserving Naga textile traditions and proposes strategies for revitalizing and sustaining the art of Naga weaving. Drawing on literature review and field research, this study examines the historical significance of Naga textiles, the cultural significance of weaving, the impact of globalization on traditional practices, and initiatives aimed at promoting Naga textile heritage. Through a comprehensive analysis, this paper highlights the urgent need for concerted efforts to safeguard Naga weaving techniques, empower local artisans, and promote awareness and appreciation of Naga textile heritage .The Naga people of Northeast India possess a cultural tapestry woven with threads of tradition, resilience, and identity. Central to this fabric are their exquisite textiles, each thread carrying the stories of generations past. However, in the face of modernization's relentless tide, these delicate threads are at risk of unravelling. This paper delves into the intricate artistry of Naga weaving, exploring its historical significance, cultural resonance, and contemporary challenges. Through a synthesis of literature review and field research, it uncovers the existential threats posed by globalization and the urgent need for concerted action to preserve Naga textile heritage. Proposing a journey "Back to Naga Loom," this study advocates for the revival of traditional weaving practices, the empowerment of Naga artisans, and the celebration of indigenous knowledge. By weaving together threads of tradition and innovation, we can ensure that the vibrant colors of Naga textiles continue to adorn the fabric of cultural diversity for generations to come

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Cultural Heritage, Naga Textiles, Preservation, Traditional Weaving

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This paper explores the rejuvenation of traditional Naga textiles and their adaptation into contemporary women's wear. Drawing on ethnographic research and design experimentation, the study investigates the cultural significance of Naga textiles, their historical context, and the challenges and opportunities in integrating them into modern fashion. Through collaborative efforts with Naga artisans and designers, innovative approaches are proposed to revitalize traditional weaving techniques and motifs, creating sustainable livelihoods while preserving cultural heritage. The paper discusses the development process of contemporary women's wear incorporating Naga textiles, considering aesthetic, functional, and market factors. The findings underscore the importance of cultural sustainability, ethical fashion practices, and cross-cultural collaboration in the revitalization of indigenous crafts.This paper explores the rejuvenation of traditional Naga textiles and their adaptation into contemporary women's wear. Drawing on ethnographic research and design experimentation, the study investigates the cultural significance of Naga textiles, their historical context, and the challenges and opportunities in integrating them into modern fashion. Through collaborative efforts with Naga artisans and designers, innovative approaches are proposed to revitalize traditional weaving techniques and motifs, creating sustainable livelihoods while preserving cultural heritage. The paper discusses the development process of contemporary women's wear incorporating Naga textiles, considering aesthetic, functional, and market factors. Additionally, it examines the socio-economic impact of this revitalization effort on Naga communities, emphasizing the potential for empowerment, economic diversification, and cultural resilience. The findings underscore the importance of cultural sustainability, ethical fashion practices, and cross-cultural collaboration in the revitalization of indigenous crafts, offering insights for policymakers, researchers, and practitioners in the fields of fashion, anthropology, and sustainable development

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Contemporary Women's Wear, Cultural Sustainability, Ethical Fashion Practices, Naga Textiles

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The objective of this research is to elucidate the ways in which the ethical quandaries encountered by public relations (PR) professionals during social media management impact stakeholder engagement, the standing of the organization, and compliance with ethical frameworks. Transparency, integrity, and privacy protection are acknowledged as fundamental ethical principles that guide the practice of social media management. This study evaluates the impact of ethical social media management on the reputation of an organization, emphasizing the criticality of transparency, honesty, and privacy protection in fostering the confidence and trust of audiences. This study investigates the impact of stakeholder perspectives on moral conduct on social media. Itunderscores the significance of authentic and transparent stakeholder interactions in establishing enduring relationships and ensuring moral conduct. Furthermore, it assesses the efficacy of existing ethical frameworks and guidelines in addressing the myriad ethical dilemmas that emerge from social media management, such as compliance with regulatory obligations like data protection laws and advertising standards. Furthermore, it elucidates the ethical dilemmas associated with maintaining authentic and truthful correspondence with stakeholders, emphasizing the imperative for public relations professionals to adhere to moral standards and accept accountability for any unethical conduct. By conducting an extensive analysis of the intricate correlation between ethics, legality, and stakeholder engagement in social media management, this study aims to provide public relations professionals with enlightening recommendations on how to address moral quandaries and foster a more accountable, considerate, and reliable digital community.

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Ethical quandaries, Public relations professionals, Stakeholder engagement, Transparency, Integrity, Privacy protection, Reputation management, Authentic stakeholder interactions, Ethical frameworks , Accountability

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The present study confers to the fabrication and its characterization of AA 7075 alloy based nano composites with nano Zirconium oxide (Zr2) particulate reinforcements. Ultrasonication technique was adoptedfor fabrication of the composite, this process will combine the advantages of ultrasonic probe as well as stir casting process. This will improve the uniform dispersion of nanoparticles due to ultrasonic cavitation effect and avoid the settlement agglomeration of nano particles in metal matrix and the grain size formation is controlled. An average particle size of less than 100nm was used as reinforcement to disperse in matrix. The prepared composites later subjected to various mechanical, optical image tests and results are studied. The test was carried out in accordance with the ASTM Standards on the alloy and nanocomposites. The effects of change in weight fraction of reinforcements on the distribution of particles, particle- matrix interfacial reactions, physical as well as mechanical properties were reported. Composites are widely used in many automotive, nuclear technologies, shipping industries and aerospace structures due to their greater weight savings. Overall, the investigational outcomes are very interesting and motivates to do further more projects.

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Nano Composites, Fabrication, Image tests and Ultrasonication technique.

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Sugarcane a vital cash crop in India and is the second crop producing of the world, faces substantial losses due to diseases like smut, red rot, and pineapple disease. Effective management strategies are imperative for sustainable cultivation. Breeding resistant varieties remains a cornerstone, complemented by cultural practices like sanitation and crop rotation. Chemical control, primarily fungicides and bactericides, is widely used, albeit with environmental concerns. Biological interventions, including biocontrol agents and beneficial microbes, offer promising eco-friendly alternatives. Integrated disease management approaches, incorporating multiple strategies, emerge as the most effective solution. Continued research and extension efforts are vital for mitigating disease impact and ensuring the longevity of sugarcane production in India.

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sugarcane; major diseases; fungal diseases; bacterial diseases; viral diseases; Phytoplasmal disease; management; India.

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The research paper investigates the relationship between corporate risk management strategies and firm performance across various dimensions. Through a comprehensive literature review and meta-analysis, it synthesizes empirical findings from diverse studies examining the impact of risk management practices on financial metrics like profitability, return on investment, cash flow stability, market valuation indicators, as well as non-financial measures such as operational efficiency, customer satisfaction, employee engagement, and brand resilience. The analysis unveils a consistent positive association between robust risk management strategies and enhanced firm performance. It explores a wide range of risk management approaches, including financial risk management, operational risk management, human resource risk management, regulatory risk management, enterprise risk management (ERM), and supplier sustainability risk management strategies. The study examines the significance of contextual factors like industry dynamics, regulatory environments, organizational culture, and risk appetite in shaping the effectiveness of risk management initiatives. It also delves into the interplay between risk management practices, corporate governance, innovation strategies, sustainability efforts, and crisis management capabilities. The research emphasizes the need for adaptive, integrated risk management frameworks aligned with strategic planning processes to drive sustainable performance and resilience. It investigates the role of moderating factors such as performance management systems, competitive advantage, and intellectual capital in influencing the risk management-performance nexus. Furthermore, the study explores the potential synergies and trade-offs between risk management efforts and organizational priorities like growth initiatives, stakeholder expectations, and digital transformation. By advancing theoretical models and practical recommendations, this research aims to empower organizations with insights for navigating complexities, mitigating risks, capitalizing on opportunities, and fostering long-term value creation in today's volatile business landscape.

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Corporate Risk Management, Firm Performance, Enterprise Risk Management, Strategic Planning, Organizational Resilience

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: -- This project centers on the advancement of an affordable fingerprint-based electronic voting system utilizing Arduino UNO. Such a system digitally records, stores, and processes voters' data. It comprises both hardware and software components. The hardware involves Arduino paired with a fingerprint module. This proposed system offers an efficient solution for expediting voter identification. The FP-EVM design is characterized by its portability, flexibility, and minimal power consumption. Additionally, it boasts a user-friendly interface, easy adaptability, and cost-effectiveness. Its architecture is straightforward, ensuring rapid response times and room for future enhancements. Utilizing thumb impressions for voter identification capitalizes on the uniqueness of each individual's thumbprint. This approach provides an advantage over current voting systems by ensuring that voting rights are exclusively accessed by legitimate users. Preceding elections, a database is created containing the thumb impressions of all eligible voters within a constituency. During the voting process, a voter's thumb impression is inputted into the system and compared against the database. If a match is found, the voter is granted access to cast their vote. Conversely, if there is no match or if there's a duplicate entry, voting access is denied, and the vote is rejected. This method yields instantaneous results, simplifies the counting process, and reduces overall election costs and system maintenance expenses. Offering an alternative to postal voting, the system allows individuals to vote from any location within Karnataka using their pre-saved Aadhar card details. By selecting their specific voting area, this feature facilitates voting for non-residents, enhancing accessibility and participation. Furthermore, age verification is implemented before voting, and individuals failing to vote in three consecutive elections risk cancellation of their citizenship. Disabled individuals are accommodated through the use of a swipe machine where they can vote using their Aadhar card details, ensuring inclusivity in the electoral process. Key words : Arduino, voting system, Aadhar card, electronic system,

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Arduino, voting system, Aadhar card, electronic system,

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Creative Commons Attribution 4.0 and The Open Definition

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In the modern digital age, platforms like Reddit have ascended as pivotal spaces where individuals candidly express their experiences and emotions, especially surrounding stress. The traditional methodologies employed to categorize stress, which predominantly hinge on manual surveys or expansive keyword searches, present inherent limitations. They often provide only a superficial granularity and grapple with the ever-evolving, voluminous data pouring in from platforms like Reddit. Notably, these prevailing systems conspicuously lack the computational sophistication required to deeply comprehend and categorize the intricate expressions of stress embedded in large-scale online dialogues. Such methods frequently misconstrue context, overlook linguistic subtleties, or overgeneralize diverse stressors into overarching, broad categories. In terms of assessment, this research stands out in its originality and novelty, pioneering the application of BERT for discerning stress categories on Reddit. The methodology is delineated with crystal-clear precision and thoroughness, ensuring a replicable blueprint for future endeavors. Given the burgeoning prevalence of online stress dialogues, the research's societal relevance and significance are undeniable. By adroitly bridging a crucial void in stress categorization and proffering a refined, scalable solution, this study solidifies its position as a seminal contribution to the field of online stress analytics.

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Stress Classification, BERT Transformer Model, Natural language Processing

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The purpose of this study was to study the comparison of young adults' social media addiction and anxiety from places subject to recurring internet bans with regular locations. An online survey, which included two measurements (the Bergen Social Media Addiction Scale and the Beck Anxiety Inventory) and a demographic questionnaire, was handed in by a sample of one hundred young adults from Manipur and Delhi. An independent sample T- test revealed there is no significant difference in the social media addiction levels and anxiety levels of those areas that faced periodic internet ban compared to the normal areas. Although, a moderate positive association was observed between social media addiction and anxiety level. The findings of this research will contribute to our understanding of how restricted internet access can affect social media addiction and anxiety levels among young adults.

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Manipur, Internet access, anxiety, social media addiction.

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Creative Commons Attribution 4.0 and The Open Definition

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Adoption and integration of technology in business are increasingly requirements rather than options. Businesses today align their technology with their goals to guarantee survival, development, and continuity of operations. By making the organization's business processes even more connected and efficient than before, technological innovations have completely transformed and restructured them. These technological developments in business are bringing humans and machines closer together and researching methods to improve productivity, ease of use, and efficiency. The application of artificial intelligence (AI) in enterprises is an example of this kind of corporate change. AI-powered human resource (HR) technology helps businesses generate both immediate and long term advantages. Human resource (HR) departments can enhance the employee experience by utilizing artificial intelligence, which enables managers to make consistent decisions about major business challenges, automates repetitive tasks, develops customized training modules, and supports HR managers in making more informed decisions about talent development. This study is primarily descriptive. It is based on secondary data gathered from research papers, books, websites, blogs on human resources, and survey results. The primary objective of this research is to demonstrate the increasing importance of artificial intelligence (AI) in human resource management (HRM) and to elucidate how AI has been integrated into diverse HRM operations. The study discovered that there is an increasing need to include artificial intelligence (AI) in human resource management (HRM) and that AI is essential to improving HR tasks like hiring and performance monitoring.

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Keywords - Artificial Intelligence (AI), Human Resource Management (HRM), Human Resource (HR).

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Creative Commons Attribution 4.0 and The Open Definition

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The main theme of our paper is identifying whether the Instagram profile is genuine or fake. Algorithms will be trained with all previous users fake and genuine account data and then whenever we give new test data then trained model will be applied on new test data to identify whether given new account details are from genuine or fake users. The machine learning-based methods were used to perceive false accounts that could give the wrong impression about people. The dataset is pre-processed using a variety of python libraries and a comparison form is obtained to get a realistic algorithm appropriate for the specified dataset. An effort to notice forged accounts on the social media platforms is strong-minded by a variety of machine learning algorithms. The performances of the classification algorithm like support vector machines and artificial neural network are used for the detection of fake accounts.

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Fake Profile Identification, Machine Learning, Neural Network, SVM

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Creative Commons Attribution 4.0 and The Open Definition

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Education holds vital importance in the Indian system for several reasons deeply embedded in its socio-cultural structure and national development aspirations. Education in India is perceived as a means of social mobility and economic empowerment. Historically, education has been a privilege of the elite, but post-independence, there has been a concerted effort to make it accessible to all. The Indian government has initiated various schemes and policies to promote education among marginalized communities, aiming to bridge the socio-economic gaps. Education plays a vital role in nurturing national unity and integration in a country as diverse as India. With hundreds of languages, cultures, and religions, education serves as a common ground where students learn about the country's rich heritage, history, and shared values. The national curriculum ensures that students are exposed to a broad spectrum of knowledge, fostering a sense of belonging and national identity. This paper enlightened the importance of NEP (New education policy)-2020 for addressing the challenges of poverty, unemployment, and inequality prevalent in state of Uttar Pradesh India.

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New Education policy (NEP), Basic Education, Skill Development

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Creative Commons Attribution 4.0 and The Open Definition

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Smart and Internet of Things (IoT) technologies are developing and being used at a rapid pace, opening up new avenues for technical breakthroughs in a variety of areas of life. IoT technologies' primary objective is to streamline various industry processes in order to guarantee increased productivity of systems (technology or particular procedures), and lastly to raise the standard of living. Sustainability has emerged as a major concern for the public as a result of the dynamic development of IoT technologies, which are providing a variety of beneficial effects. However, this rapid development needs to be closely watched and assessed from an environmental perspective in order to minimize the likelihood of negative effects and guarantee the wise use of finite global resources. In the former sense, extensive research is required to thoroughly examine the benefits and drawbacks of IoT technologies. There was also discussion of some IoT technology application areas. reflects the advancement achieved. The editorial that follows covered four major current topics, namely the most recent developments in the following fields: The applications of IoT technology include: (i) sustainable energy and environment; (ii) smart cities enabled by IoT; (iii) ambient assisted living systems and e-health; and (iv) low-carbon and transportation-related products. The primary findings of the review introductory article enhanced comprehension of the state of technological advancement in IoT application domains and the ecological consequences associated with the growing utilization of IoT items. It is anticipated that every gadget will have an Internet connection by 2025, which will lead to an increase in the total number of devices having Internet connections. By 2030, 500 billion gadgets will be connected to the Internet of Things (IoT), according to Cisco. In addition, Telefonica predicts that by 2030, 90% of cars will be connected to the Internet of Things, and that by that time, each individual will own an average of 15 connected devices. Nonetheless, a 2015 assessment predicted that by 2020, there will be over 250 million linked cars on the road worldwide--a 67% increase. Many industrial opportunities provided by the Internet of Things enable industries to develop innovative models and tactics to bring their ideas to reality. These industrial prospects also bring together research studies, engineering skills, the sciences, and the humanities under one roof, providing researchers and specialists in multidisciplinary study domains with innovative and fruitful examination options. IoT is also making the world a smarter place where everything is easily and rapidly available. Figure 1 illustrates a few clever uses. Generally speaking, based on the IoT technologies' state of growth, industries will deal with ventures through fast speculation.

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Keywords: Internet of Things(IoT), Sensors, Smart cities, embedded system, sustainable energy, devices.

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